Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO was re-introduced again with additional three other forms and known as single, simplified partial, and simplified single migration based BBOs. Then a lot of modifications were employed to enhance the performance of BBO. However, the literature lacks the explanations and the reasons on which the modifications are based on. This paper tries to clarify this issue by making a comparison between the four original BBO algorithms through a variety of benchmark functions with different dimensions and complexities. The results show that both single and simplified single migration based BBOs are faster, but have less performance as compared to
the others. The comparison between the partial and the simplified partial migration based BBOs shows that the preference depends on the population size, problem’s complexity and dimensions and the values of the upper and lower side constraints. The partial migration model wins when
these factors, except population size, are increased, and vice versa for the simplified partial migration model. The results can be used as a foundation and a first step of modification for
enhancing any proposed modification on BBO including the existing modifications that are described in literature.
Biogeography-based optimization (BBO) is a new popu
lation-based evolutionary algorithm and
one of meta-heuristic algorithms. This technique is
based on an old mathematical study that
explains the geographical distribution of biologica
l organisms. The first original form of BBO
was introduced in 2008 and known as a partial migra
tion based BBO. Few months later, BBO
was re-introduced again with additional three other
forms and known as single, simplified
partial, and simplified single migration based BBOs
. Then a lot of modifications were employed
to enhance the performance of BBO. However, the lit
erature lacks the explanations and the
reasons on which the modifications are based on. Th
is paper tries to clarify this issue by making
a comparison between the four original BBO algorith
ms through a variety of benchmark
functions with different dimensions and complexitie
s. The results show that both single and
simplified single migration based BBOs are faster,
but have less performance as compared to
the others. The comparison between the partial and
the simplified partial migration based BBOs
shows that the preference depends on the population
size, problem’s complexity and dimensions
and the values of the upper and lower side constrai
nts. The partial migration model wins when
these factors, except population size, are increase
d, and vice versa for the simplified partial
migration model. The results can be used as a found
ation and a first step of modification for
enhancing any proposed modification on BBO includin
g the existing modifications that are
described in literature.
Performance Comparison Between the Original Forms of Biogeography-Based Optim...XperiaZ1
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO was re-introduced again with additional three other forms and known as single, simplified partial, and simplified single migration based BBOs. Then a lot of modifications were employed to enhance the performance of BBO. However, the literature lacks the explanations and the reasons on which the modifications are based on. This paper tries to clarify this issue by making a comparison between the four original BBO algorithms through a variety of benchmark functions with different dimensions and complexities. The results show that both single and simplified single migration based BBOs are faster, but have less performance as compared to the others. The comparison between the partial and the simplified partial migration based BBOs shows that the preference depends on the population size, problem’s complexity and dimensions and the values of the upper and lower side constraints. The partial migration model wins when these factors, except population size, are increased, and vice versa for the simplified partial migration model. The results can be used as a foundation and a first step of modification for enhancing any proposed modification on BBO including the existing modifications that are described in literature.
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...IJCMESJOURNAL
Land Use and Land Cover Change (LU/LC) is one of the notable human induced worldwide changes. Hence, understanding the stream flow responses of a watershed to this dynamic change is becoming fundamental for water resources management planning. The study was conducted with the objective to analyses the impact of Land use and Land cover changes on stream flow response of Wabe watershed, in Omo-Gibe basin. Land use and land cover maps were developed using satellite image of Landsat5 TM 1988, Landsat7 ETM+ 2001 and Landsat8 OLI/TIRS 2018 through maximum likelihood algorithm of supervised classification using ERDAS Imagine 2014 and ArcGIS software for satellite image processing and map preparation. A physical based, semi-distributed hydrological model SWAT was used to simulate LU/LC change effects on the stream flow responses of watershed. During the study period the land use and land cover has changed due to natural and anthropogenic activity. The results depicted that there was an incessant expansion of agricultural land, built-up area and forest cover, on the other hand declining of agroforestry; grassland and woodland were happened during from the 1988 to 2018 periods. Due to the occurred LU/LC changes, the mean monthly stream flow were increased by 5.97m3/s for wet season and similarly the dry season flow showed increasing by 0.96m3/s during the study periods from 1988 up to 2018. Generally the result indicated that large changes of the stream flow in the watershed. Hence result notified an urgent intervention, so as to regulate the LU/LC change and to reduce its strong impacts on the stream flow of the Wabe watershed.
This document compares the methodologies of ecological footprint (EF) and water footprint (WF) analyses. Both concepts measure human consumption of natural resources but EF measures consumption in terms of land area (hectares) while WF measures consumption in terms of water volume (cubic meters). Though they have different origins, EF and WF analyses employ similar methodological approaches, such as item-by-item and balance-based calculations. While food consumption significantly impacts both EF and WF, mobility primarily impacts EF. The document argues that EF and WF provide complementary perspectives for assessing sustainability and should both be considered.
Changes in benthic communities in the Middle Atlas springs (Morocco) and thei...Innspub Net
The sources of the Moroccan Middle Atlas suffer not only the effects of anthropogenic pressures, but also those of climate change whose impact is difficult to predict. Our goal is to better understand the succession of processions fauna of the upper Guigou. It is a compendium comparative between the benthic fauna collected towards the end of the years 70 (1979) in the sources Arbalou Abrchane, Tit Zil and the Wadi Guigou. As well as those harvested in the same sites, thirty-four years after. This revealed a significant drop in dissolved oxygen concentration decreased from 7.4 (mg/l) in 1979 to 2.52 (mg/l) in 2015. We have also raised an increase in the workload in chlorides and major elements. Benthic fauna, a significant change in population since 1979, with the appearance and installation of more than a dozen of taxa were identified (Simulium pseudoquinum, Gammarus gauthieri, Phagocata sp., Dugesia gonocephala). Some of these species have become invasive, such as Amphipod crustaceans Gammarus gauthieri, either very abundant as Simulium pseudoquinum. We note the effect “medium” for the direct selection of the species. Other indirect effects due to the reduction of the three dimensional biogenic structures would have limited recognizably State niches by polluo-sensitive species (Ephemeroptera, Heteroptera, Coleoptera and Trichoptera) and could contribute to the total disappearance of all order plecoptera in favour of a dominance of the polluo-tolerant species (Oligochaetes). Over a period of 35 years, there is a deterioration of the health of the aquatic ecosystem studied, a State of art reflected by a decline of the benthic community that lives there.
Length-weight models and condition factors of fishes from Okpara Stream, Ouem...AI Publications
Length frequency distributions, length-weight models and condition factors of 21 dominant fish species of the Okpara stream (Oueme River) were examined in Northern-Benin in order to evaluate the well-being of these fish taxa. Samplings were made monthly from December 2015 to May 2017 with seines, gill nets hawks and a total of 9,302 individuals were collected. Fish abundance ranged from 53 individuals for Mormyrus rume to 2,818 for Hemichromis fasciatus. Standard length (SL) varied from 1.2 cm (Coptodon guineensis) to 51.8 cm (Chrysichthys nigrodigitatus). Length-weight regressions equations showed significant (p < 0.05) correlation coefficients (r) ranging between 0.4664 and 0.9949 with slopes (b) between 2.2262 and 3.7703 corresponding to isometric, positive allometric and negative allometric growths displayed by 4, 8 and 9 species, respectively. Condition factors K varied between 0.17 - 29.38 and species with higher well-being were Oreochromis niloticus with K=29.38, Hyperopisius bebe (K=20.14), Coptodon zillii (K=19.25), Mormyrus rume (K=17.13) and Sarotherodon galilaeus multifasciatus (K=16.16). A sustainable exploitation of these fishes requires an ecosystem restoration scheme including habitat protection, species conservation and an ecological follow-up of the Okpara stream.
Guerreiro (2014). Biodiversity distribution in the western Sahara-Sahel the r...Ricardo Guerreiro
This document provides background information on a fieldwork internship conducted in North-West Africa to study biodiversity distribution patterns. The internship involved sampling amphibians and reptiles across five ecoregions in Morocco, Mauritania and Mali over 48 days. A total of 47 taxa were found with diversity increasing from north to south. Analyses of niche breadth for 11 taxa showed environmental variation impacts distribution. Distribution of four gecko species was evaluated against environmental factors using GIS, finding preferences for different temperature ranges between closely related species. Overall biodiversity follows a north-south precipitation gradient, and there are apparent ecological niche differences between Tarentola gecko taxa.
This document describes research on developing habitat suitability models for black-tailed prairie dogs in the southern Great Plains. The researchers used long-term datasets on prairie dog colony locations across 7 study sites to create models based on soil properties, topography, and climate. The models show that suitable habitat is positively associated with soil organic matter, pH, clay and depth, and negatively associated with slope and sand. Certain soil-climate interactions were also important. The resulting maps can help prioritize conservation areas for prairie dogs and associated species under climate change.
Biogeography-based optimization (BBO) is a new popu
lation-based evolutionary algorithm and
one of meta-heuristic algorithms. This technique is
based on an old mathematical study that
explains the geographical distribution of biologica
l organisms. The first original form of BBO
was introduced in 2008 and known as a partial migra
tion based BBO. Few months later, BBO
was re-introduced again with additional three other
forms and known as single, simplified
partial, and simplified single migration based BBOs
. Then a lot of modifications were employed
to enhance the performance of BBO. However, the lit
erature lacks the explanations and the
reasons on which the modifications are based on. Th
is paper tries to clarify this issue by making
a comparison between the four original BBO algorith
ms through a variety of benchmark
functions with different dimensions and complexitie
s. The results show that both single and
simplified single migration based BBOs are faster,
but have less performance as compared to
the others. The comparison between the partial and
the simplified partial migration based BBOs
shows that the preference depends on the population
size, problem’s complexity and dimensions
and the values of the upper and lower side constrai
nts. The partial migration model wins when
these factors, except population size, are increase
d, and vice versa for the simplified partial
migration model. The results can be used as a found
ation and a first step of modification for
enhancing any proposed modification on BBO includin
g the existing modifications that are
described in literature.
Performance Comparison Between the Original Forms of Biogeography-Based Optim...XperiaZ1
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO was re-introduced again with additional three other forms and known as single, simplified partial, and simplified single migration based BBOs. Then a lot of modifications were employed to enhance the performance of BBO. However, the literature lacks the explanations and the reasons on which the modifications are based on. This paper tries to clarify this issue by making a comparison between the four original BBO algorithms through a variety of benchmark functions with different dimensions and complexities. The results show that both single and simplified single migration based BBOs are faster, but have less performance as compared to the others. The comparison between the partial and the simplified partial migration based BBOs shows that the preference depends on the population size, problem’s complexity and dimensions and the values of the upper and lower side constraints. The partial migration model wins when these factors, except population size, are increased, and vice versa for the simplified partial migration model. The results can be used as a foundation and a first step of modification for enhancing any proposed modification on BBO including the existing modifications that are described in literature.
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...IJCMESJOURNAL
Land Use and Land Cover Change (LU/LC) is one of the notable human induced worldwide changes. Hence, understanding the stream flow responses of a watershed to this dynamic change is becoming fundamental for water resources management planning. The study was conducted with the objective to analyses the impact of Land use and Land cover changes on stream flow response of Wabe watershed, in Omo-Gibe basin. Land use and land cover maps were developed using satellite image of Landsat5 TM 1988, Landsat7 ETM+ 2001 and Landsat8 OLI/TIRS 2018 through maximum likelihood algorithm of supervised classification using ERDAS Imagine 2014 and ArcGIS software for satellite image processing and map preparation. A physical based, semi-distributed hydrological model SWAT was used to simulate LU/LC change effects on the stream flow responses of watershed. During the study period the land use and land cover has changed due to natural and anthropogenic activity. The results depicted that there was an incessant expansion of agricultural land, built-up area and forest cover, on the other hand declining of agroforestry; grassland and woodland were happened during from the 1988 to 2018 periods. Due to the occurred LU/LC changes, the mean monthly stream flow were increased by 5.97m3/s for wet season and similarly the dry season flow showed increasing by 0.96m3/s during the study periods from 1988 up to 2018. Generally the result indicated that large changes of the stream flow in the watershed. Hence result notified an urgent intervention, so as to regulate the LU/LC change and to reduce its strong impacts on the stream flow of the Wabe watershed.
This document compares the methodologies of ecological footprint (EF) and water footprint (WF) analyses. Both concepts measure human consumption of natural resources but EF measures consumption in terms of land area (hectares) while WF measures consumption in terms of water volume (cubic meters). Though they have different origins, EF and WF analyses employ similar methodological approaches, such as item-by-item and balance-based calculations. While food consumption significantly impacts both EF and WF, mobility primarily impacts EF. The document argues that EF and WF provide complementary perspectives for assessing sustainability and should both be considered.
Changes in benthic communities in the Middle Atlas springs (Morocco) and thei...Innspub Net
The sources of the Moroccan Middle Atlas suffer not only the effects of anthropogenic pressures, but also those of climate change whose impact is difficult to predict. Our goal is to better understand the succession of processions fauna of the upper Guigou. It is a compendium comparative between the benthic fauna collected towards the end of the years 70 (1979) in the sources Arbalou Abrchane, Tit Zil and the Wadi Guigou. As well as those harvested in the same sites, thirty-four years after. This revealed a significant drop in dissolved oxygen concentration decreased from 7.4 (mg/l) in 1979 to 2.52 (mg/l) in 2015. We have also raised an increase in the workload in chlorides and major elements. Benthic fauna, a significant change in population since 1979, with the appearance and installation of more than a dozen of taxa were identified (Simulium pseudoquinum, Gammarus gauthieri, Phagocata sp., Dugesia gonocephala). Some of these species have become invasive, such as Amphipod crustaceans Gammarus gauthieri, either very abundant as Simulium pseudoquinum. We note the effect “medium” for the direct selection of the species. Other indirect effects due to the reduction of the three dimensional biogenic structures would have limited recognizably State niches by polluo-sensitive species (Ephemeroptera, Heteroptera, Coleoptera and Trichoptera) and could contribute to the total disappearance of all order plecoptera in favour of a dominance of the polluo-tolerant species (Oligochaetes). Over a period of 35 years, there is a deterioration of the health of the aquatic ecosystem studied, a State of art reflected by a decline of the benthic community that lives there.
Length-weight models and condition factors of fishes from Okpara Stream, Ouem...AI Publications
Length frequency distributions, length-weight models and condition factors of 21 dominant fish species of the Okpara stream (Oueme River) were examined in Northern-Benin in order to evaluate the well-being of these fish taxa. Samplings were made monthly from December 2015 to May 2017 with seines, gill nets hawks and a total of 9,302 individuals were collected. Fish abundance ranged from 53 individuals for Mormyrus rume to 2,818 for Hemichromis fasciatus. Standard length (SL) varied from 1.2 cm (Coptodon guineensis) to 51.8 cm (Chrysichthys nigrodigitatus). Length-weight regressions equations showed significant (p < 0.05) correlation coefficients (r) ranging between 0.4664 and 0.9949 with slopes (b) between 2.2262 and 3.7703 corresponding to isometric, positive allometric and negative allometric growths displayed by 4, 8 and 9 species, respectively. Condition factors K varied between 0.17 - 29.38 and species with higher well-being were Oreochromis niloticus with K=29.38, Hyperopisius bebe (K=20.14), Coptodon zillii (K=19.25), Mormyrus rume (K=17.13) and Sarotherodon galilaeus multifasciatus (K=16.16). A sustainable exploitation of these fishes requires an ecosystem restoration scheme including habitat protection, species conservation and an ecological follow-up of the Okpara stream.
Guerreiro (2014). Biodiversity distribution in the western Sahara-Sahel the r...Ricardo Guerreiro
This document provides background information on a fieldwork internship conducted in North-West Africa to study biodiversity distribution patterns. The internship involved sampling amphibians and reptiles across five ecoregions in Morocco, Mauritania and Mali over 48 days. A total of 47 taxa were found with diversity increasing from north to south. Analyses of niche breadth for 11 taxa showed environmental variation impacts distribution. Distribution of four gecko species was evaluated against environmental factors using GIS, finding preferences for different temperature ranges between closely related species. Overall biodiversity follows a north-south precipitation gradient, and there are apparent ecological niche differences between Tarentola gecko taxa.
This document describes research on developing habitat suitability models for black-tailed prairie dogs in the southern Great Plains. The researchers used long-term datasets on prairie dog colony locations across 7 study sites to create models based on soil properties, topography, and climate. The models show that suitable habitat is positively associated with soil organic matter, pH, clay and depth, and negatively associated with slope and sand. Certain soil-climate interactions were also important. The resulting maps can help prioritize conservation areas for prairie dogs and associated species under climate change.
Spatial Mapping: Diversity and Distribution of Demersal Fish in the Southern ...robert peranginangin
In the future, fisheries management must not be based on biomass measure only, but must use an integrated ecosystem approach. This study was aimed to discover the species diversity level of demersal fish resources in spatial distribution and its relation to the environment. The study was conducted in May and June 2015 by operating a trawl in the assigned stations. The spatial distribution was based on the Bray-Curtis index which divided the distribution of demersal fish resources into three clusters. Inshore sites of Kalimantan’s western waters (KLBR) was dominated by Leognathidae, inshore sites of the eastern of Riau Islands waters (KPRI) was dominated by Lutjanidae, and offshore sites of the southern of South China Sea (SSCS) was dominated by Nemipteridae. Offshore sites of the southern of South China Sea (SSCS) had a much better community stability level than that of inshore sites of Kalimantan’s western waters (KLBR) and inshore sites of the eastern of Riau Islands waters (KPRI). This study also demonstrated that environmental factors such as depth, sediment type, salinity, and temperature, affect the distribution and species diversity of demersal fish communities in the southern of South China Sea.
Forecasting Biomass Loss and Carbon Released to the Atmosphere as a Result of...IJEAB
Terrestrial climate change predictions use various models that are based on atmospheric parameters combined with projected carbon emission scenarios. Increased levels of carbon emissions into the atmosphere are accelerated by human activities and are the main reason of climate change (CC). CC threatens networks of protected areas (PAs) and forced many species out of PAs. Unfenced PAs gives species opportunity to migrate from one PA to another or other unprotected areas to sustain their climatic niche. Many PAs in SADC countries including transfrontier conservation areas (TFCA) are unfenced; hence, connectivity of PAs uses corridors. However, many of these corridors are unprotected and advocacies adaptation of reserved fauna and flora under CC. This paper explains the less known amount of biomass loss and carbon released to the atmosphere as result of habitat conversion of eastern corridor of Selous – Niassa TFCA which connecting the two PAs of Tanzania and Mozambique. Specifically, the study predicts amount of biomass loss, amount of carbon released to the atmosphere and amount of conservation profit disposed as a result of habitat conversion from 2015 to 2035. Existing data on spatial and temporal changes in land use and land cover (LULC) of eastern corridor of Selous – Niassa TFCA from 1986 – 2016 was analysed and used to forecast LULC from 2015 to 2035 by using CA-Markov model. The forecasted LULC from 2015 to 2035 was analysed to get intended results. The results revealed that, an average amount of 29559.8 tons of biomass (above ground + below ground + deadwood) loss annually from 2015 to 2035. Consequently, average amount of 40217.2 tons of carbon (above ground + below ground + deadwood) released to the atmosphere annually from 2015 to 2035 equivalent to US$ 160868.6 per annum if REDD+ implemented. The study concludes that, there is a need to include virgin corridors into core PAs network or formulation of sustainable conservation strategies that will consider climatic niche of both flora and fauna without compromising livelihoods of corridor dwellers.
The document summarizes a study that used a climate model to predict how climate change may impact the spatial distribution of freshwater snails that transmit parasites in Zimbabwe. The study found:
1) Snail habitat suitability in Zimbabwe varies currently, with some high suitability areas and low suitability areas.
2) Future climate change may cause a reduced spatial distribution of suitable habitat for most snail species by 2100, but the habitat of one snail species may increase by 2055 before declining.
3) Temperature appears to be a main driver of suitable snail habitat and climate change is expected to impact the transmission of parasites that rely on these snail species.
The 2010 drought in the Amazon was more severe than the 2005 drought, based on record low river levels. Satellite data showed widespread and persistent declines in vegetation greenness over a much larger area in 2010 compared to 2005. The declines in 2010 affected 51% of drought-stricken forests and persisted after rainfall returned to normal, unlike in 2005. The loss of photosynthetic capacity due to the 2010 drought may have significantly impacted the global carbon cycle.
The document provides a critical appraisal of the ecosystem approach to restoring freshwater environments. It discusses the history of river degradation and the need for restoration. It then analyzes the ecosystem approach, which aims to restore heterogeneity, dynamism, and connectivity through natural geomorphic, hydrologic, and ecological processes. However, the approach has limitations due to a lack of consideration for human factors and timescales. Restoration using natural processes can take decades, which conflicts with human demands for shorter timescales. The approach is also limited in urban environments where human development constrains natural river processes. The ecosystem approach provides an ideal framework but must be adapted to real-world constraints.
Anderson et al. SEAC 2014 "Linking Archaeological Data At A Large Scale"dinaa_proj
A crucial challenge facing archaeologists is using the vast quantities of data we are generating for research, management, and public education. The DINAA project provides online methods for linking non-sensitive archaeological data from a wide array of sources, to explore questions of human-environmental interaction at multiple geospatial and temporal scales, in the past, present, and future. A multi-institutional collaborative effort, DINAA provides a framework for distributed linked open data initiatives in North American archaeology; promotes greater interaction between data generators, managers, and users; and helps promote a greater appreciation for archaeology among researchers, resource managers, and the general
public.
Avian Vocalization Adjustment to Urbanization and Anthropogenic Noise_ A Revi...Maxson Jarecki
This document summarizes research on how birds adjust their vocalizations in urban environments in response to anthropogenic noise. It finds that birds that already have high frequency vocalizations are better able to inhabit cities, as low frequency calls are more easily masked by urban noise. Within urban areas, passerine birds with lower baseline frequencies are more likely to further increase their call frequencies. However, evidence suggests frequency changes may not be a directly adaptive response, but rather a byproduct of increasing call volume amplitudes to compensate for noise. The strength of evidence for frequency changes enhancing communication is debated in the literature.
1. The document analyzes land cover change in the Trifinio region, a protected area spanning Guatemala, Honduras, and El Salvador using satellite imagery from 2000-2015.
2. Preliminary results found land cover changes from forest to bare soil from 2005-2010 which coincided with a severe drought, and forests recovered by 2015.
3. Future research could create new land cover classifications to better detect forest variation over time and assess the effectiveness of each country's conservation policies in the transnational region.
Assessing the importance of geo hydrological data acquisition in the developm...Alexander Decker
The document discusses two groundwater flow models developed for Lagos, Nigeria and Birmingham, UK. The Birmingham model had extensive geo-hydrological data including geology, groundwater levels, recharge rates, abstraction data, and aquifer parameters obtained from field tests. This allowed for detailed discretization, calibration, and reliable predictive capabilities. The Lagos model had limited data, requiring interpolation and extrapolation. It had coarse discretization and assumed parameters. This greatly limited its reliability and predictive ability. The document recommends improving Nigeria's geo-hydrological data acquisition and accessibility to enable more effective water resources management planning and modeling.
Obstacle Size and Trail–Clearing Activity in Leaf–Cutter Ants, Atta colombicaMaxson Jarecki
This study found that there is a power curve relationship between the length of leaf obstacles placed on Atta colombica ant trails and the time taken by the ants to remove the obstacles. Leaf obstacles over 5cm in length were cut into pieces using the same techniques the ants use for leaf harvesting. Though there were no significant differences found between forests with different rainfall levels or between morning and afternoon time periods, the small sample size means a larger study could reveal differences based on humidity, temperature, and other microclimate variables. Further research is needed to fully examine the effects of these factors on individual ant obstacle removal rates.
This document summarizes a study comparing the ecology of two ponds in southern India with different management practices. Water quality parameters and plant biodiversity were analyzed seasonally. One pond hosted migratory birds and was protected as a wildlife reserve, while the other was used for irrigation and faced more human impacts. Water quality varied between ponds, with higher sulfate levels in the migratory bird pond. More plant species and individuals were found in the protected pond, indicating it supported a more stable ecosystem. The study highlights the importance of understanding pond ecology in relation to utilization and management for conservation.
This study mapped critical habitats for migratory fish species in the upper Grande River region of Brazil. Floodplain lakes were identified in all tributaries and stretches of the Grande River using remote sensing, although all areas had less than half of original riparian vegetation remaining. Ichthyoplankton sampling found the Mortes and Aiuruoca tributaries had the highest densities of eggs and larvae, identifying them as essential spawning sites and recruitment areas. Mapping of habitats and identification of key spawning locations will aid conservation efforts for migratory fish species in the basin.
Ecological Marine Units: A 3-D Mapping of the Ocean Based on NOAA’s World Oce...Dawn Wright
This webinar to the Ecosystem Based Management Tools Network, May 17, 2017, reported progress on the Ecological Marine Units (EMU) project, a new undertaking commissioned by the Group on Earth Observations, to develop a standardized and practical global ecosystems classification and map for the oceans. The EMU is comprised of a global point mesh framework, created from 52,487,233 points from the NOAA World Ocean Atlas. Each point has x, y, z, as well as six attributes of chemical and physical oceanographic structure (temperature, salinity, dissolved oxygen, nitrate, silicate, phosphate) that are likely drivers of many ecosystem responses. We identify and map 37 environmentally distinct 3D regions (candidate ‘ecosystems’) within the water column. These units can be attributed according to their productivity, direction and velocity of currents, species abundance, global seafloor geomorphology, and more. A series of data products for open access will share the 3D point mesh and EMU clusters at the surface, bottom, and within the water column, as well as 2D and 3D web apps for exploration of the EMUs and the original World Ocean Atlas data. This webinar provided an overview of the EMU project and cover recent developments and future plans for the EMUs. Webinar recording at https://www.openchannels.org/webinars/2017/ecological-marine-units-3-d-mapping-ocean-based-noaas-world-ocean-atlas
Flood Vulnerability Study in Parts of Oyo Township Using GIS and Remote Sensingpaperpublications3
Abstract: Flooding has been a major environmental disaster frequently occurring in the cities of Tropical African countries differing solutions because of human dimension difficulty to be modelled. The analysis of flood events, the resulting damage and its causes are basis for the development of risk prevention and mitigation measures. The aim of this research is to empirically investigate the vulnerability towards flood in parts of Oyo Township as one component of flood risk assessment with the integration of Geographic Information Systems and Remote Sensing to investigate the contravention level of people in a rapidly urbanizing settlement of Oyo Township to building ethics and rules, which is a tool for rational decision making. It is therefore revealed that the methodology adopted produced and classified buildings in the study area according to their vulnerability levels to flood and the results are presented in maps. The generation of vulnerability maps representing the two different perspectives of local decision makers (experts) and affected households is discussed using the methodology.
This document discusses including geospatial habitat information into a database on species interactions in the Gulf of Mexico. The researchers are using the Coastal and Marine Ecological Classification Standard to classify spatial data on depth, vegetation cover, geology and location to map habitats. They extract habitat data from past research papers and model geographical areas to add to the database. Sites are georeferenced with ecological data using the CMECS framework of biogeographic settings, water column, geoform, substrate and biotic components.
The document discusses the concept of the Anthropocene geological epoch, defined as the current period in which human activity has been the dominant influence on climate and the environment. It provides background on when the term originated in the 1980s and its increasing usage and debate within the scientific community. The document argues that the designation of an Anthropocene epoch could mark a profound cultural shift in how humanity perceives its relationship with the planet.
This study aims to quantify the direct and indirect adverse effects of proposed mining infrastructure in Ontario's Ring of Fire region on species at risk, including road mortality, habitat loss, and habitat fragmentation. The study will map species ranges and infrastructure elements, calculate habitat losses within avoidance distances of each species, and rank species in terms of conservation priority based on their sensitivity to development impacts. Preliminary results suggest woodland caribou and wolverine should be the focal conservation species, with efforts focused in areas north of Ontario's Far North boundary experiencing compound effects from development.
PERFORMANCE COMPARISON BETWEEN THE ORIGINAL FORMS OF BIOGEOGRAPHY-BASED OPTIM...csandit
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and
one of meta-heuristic algorithms. This technique is based on an old mathematical study that
explains the geographical distribution of biological organisms. The first original form of BBO
was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO
was re-introduced again with additional three other forms and known as single, simplified
partial, and simplified single migration based BBOs. Then a lot of modifications were employed
to enhance the performance of BBO. However, the literature lacks the explanations and the
reasons on which the modifications are based on. This paper tries to clarify this issue by making
a comparison between the four original BBO algorithms through a variety of benchmark
functions with different dimensions and complexities. The results show that both single and
simplified single migration based BBOs are faster, but have less performance as compared to
the others. The comparison between the partial and the simplified partial migration based BBOs
shows that the preference depends on the population size, problem’s complexity and dimensions
and the values of the upper and lower side constraints. The partial migration model wins when
these factors, except population size, are increased, and vice versa for the simplified partial
migration model. The results can be used as a foundation and a first step of modification for
enhancing any proposed modification on BBO including the existing modifications that are
described in literature.
A comprehensive comparison of the original forms of biogeography based optimi...ijscai
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. After three months, BBO was re-introduced again with additional three other forms and known as single, simplified partial, and simplified single migration based BBOs. Then a lot of modifications and hybridizations were employed to boost-up the performance of BBO and solve its weak exploration. However, the literature lacks the explanations and the reasons on which the modifications of the BBO forms are based on. This paper tries to clarify this issue by making a comparison between the four original BBO algorithms through 23 benchmark functions with different dimensions and complexities. The final judgment is confirmed by evaluating the performance based on the effect of the problem’s dimensions, the side constraints and the population size. The results show that both single and simplified single migration based BBOs are faster, but have less performance as compared to the others. The comparison between the partial and the simplified partial migration based BBOs shows that the preference depends on the population size, problem’s complexity and dimensions, and the values of the upper and lower side constraints. The partial migration model wins when these factors, except the population size, are increased, and vice versa for the simplified partial migration model. The results can be used as a foundation and a first step of modification for enhancing any proposed modification on BBO including the existing modifications that are described in literature.
ESSENTIAL MODIFICATIONS ON BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHMcscpconf
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications were employed to enhance its performance. This paper proposes two modifications; firstly, modifying the probabilistic selection process of the migration and mutation stages to give a fairly randomized selection for all the features of the islands. Secondly, the clear duplication process after the mutation stage is sized to avoid any corruption on the suitability index variables. The obtained results through wide variety range of test functions with different dimensions and complexities proved that the BBO performance can be enhanced effectively
without using any complicated form of the immigration and emigration rates. This essential modification has to be considered as an initial step for any other modification.
ESSENTIAL MODIFICATIONS ON BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHMcsandit
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and
is based on an old theory of island biogeography that explains the geographical distribution of
biological organisms. BBO was introduced in 2008 and then a lot of modifications were
employed to enhance its performance. This paper proposes two modifications; firstly,
modifying the probabilistic selection process of the migration and mutation stages to give a
fairly randomized selection for all the features of the islands. Secondly, the clear duplication
process after the mutation stage is sized to avoid any corruption on the suitability index
variables. The obtained results through wide variety range of test functions with different
dimensions and complexities proved that the BBO performance can be enhanced effectively
without using any complicated form of the immigration and emigration rates. This essential
modification has to be considered as an initial step for any other modification.
Spatial Mapping: Diversity and Distribution of Demersal Fish in the Southern ...robert peranginangin
In the future, fisheries management must not be based on biomass measure only, but must use an integrated ecosystem approach. This study was aimed to discover the species diversity level of demersal fish resources in spatial distribution and its relation to the environment. The study was conducted in May and June 2015 by operating a trawl in the assigned stations. The spatial distribution was based on the Bray-Curtis index which divided the distribution of demersal fish resources into three clusters. Inshore sites of Kalimantan’s western waters (KLBR) was dominated by Leognathidae, inshore sites of the eastern of Riau Islands waters (KPRI) was dominated by Lutjanidae, and offshore sites of the southern of South China Sea (SSCS) was dominated by Nemipteridae. Offshore sites of the southern of South China Sea (SSCS) had a much better community stability level than that of inshore sites of Kalimantan’s western waters (KLBR) and inshore sites of the eastern of Riau Islands waters (KPRI). This study also demonstrated that environmental factors such as depth, sediment type, salinity, and temperature, affect the distribution and species diversity of demersal fish communities in the southern of South China Sea.
Forecasting Biomass Loss and Carbon Released to the Atmosphere as a Result of...IJEAB
Terrestrial climate change predictions use various models that are based on atmospheric parameters combined with projected carbon emission scenarios. Increased levels of carbon emissions into the atmosphere are accelerated by human activities and are the main reason of climate change (CC). CC threatens networks of protected areas (PAs) and forced many species out of PAs. Unfenced PAs gives species opportunity to migrate from one PA to another or other unprotected areas to sustain their climatic niche. Many PAs in SADC countries including transfrontier conservation areas (TFCA) are unfenced; hence, connectivity of PAs uses corridors. However, many of these corridors are unprotected and advocacies adaptation of reserved fauna and flora under CC. This paper explains the less known amount of biomass loss and carbon released to the atmosphere as result of habitat conversion of eastern corridor of Selous – Niassa TFCA which connecting the two PAs of Tanzania and Mozambique. Specifically, the study predicts amount of biomass loss, amount of carbon released to the atmosphere and amount of conservation profit disposed as a result of habitat conversion from 2015 to 2035. Existing data on spatial and temporal changes in land use and land cover (LULC) of eastern corridor of Selous – Niassa TFCA from 1986 – 2016 was analysed and used to forecast LULC from 2015 to 2035 by using CA-Markov model. The forecasted LULC from 2015 to 2035 was analysed to get intended results. The results revealed that, an average amount of 29559.8 tons of biomass (above ground + below ground + deadwood) loss annually from 2015 to 2035. Consequently, average amount of 40217.2 tons of carbon (above ground + below ground + deadwood) released to the atmosphere annually from 2015 to 2035 equivalent to US$ 160868.6 per annum if REDD+ implemented. The study concludes that, there is a need to include virgin corridors into core PAs network or formulation of sustainable conservation strategies that will consider climatic niche of both flora and fauna without compromising livelihoods of corridor dwellers.
The document summarizes a study that used a climate model to predict how climate change may impact the spatial distribution of freshwater snails that transmit parasites in Zimbabwe. The study found:
1) Snail habitat suitability in Zimbabwe varies currently, with some high suitability areas and low suitability areas.
2) Future climate change may cause a reduced spatial distribution of suitable habitat for most snail species by 2100, but the habitat of one snail species may increase by 2055 before declining.
3) Temperature appears to be a main driver of suitable snail habitat and climate change is expected to impact the transmission of parasites that rely on these snail species.
The 2010 drought in the Amazon was more severe than the 2005 drought, based on record low river levels. Satellite data showed widespread and persistent declines in vegetation greenness over a much larger area in 2010 compared to 2005. The declines in 2010 affected 51% of drought-stricken forests and persisted after rainfall returned to normal, unlike in 2005. The loss of photosynthetic capacity due to the 2010 drought may have significantly impacted the global carbon cycle.
The document provides a critical appraisal of the ecosystem approach to restoring freshwater environments. It discusses the history of river degradation and the need for restoration. It then analyzes the ecosystem approach, which aims to restore heterogeneity, dynamism, and connectivity through natural geomorphic, hydrologic, and ecological processes. However, the approach has limitations due to a lack of consideration for human factors and timescales. Restoration using natural processes can take decades, which conflicts with human demands for shorter timescales. The approach is also limited in urban environments where human development constrains natural river processes. The ecosystem approach provides an ideal framework but must be adapted to real-world constraints.
Anderson et al. SEAC 2014 "Linking Archaeological Data At A Large Scale"dinaa_proj
A crucial challenge facing archaeologists is using the vast quantities of data we are generating for research, management, and public education. The DINAA project provides online methods for linking non-sensitive archaeological data from a wide array of sources, to explore questions of human-environmental interaction at multiple geospatial and temporal scales, in the past, present, and future. A multi-institutional collaborative effort, DINAA provides a framework for distributed linked open data initiatives in North American archaeology; promotes greater interaction between data generators, managers, and users; and helps promote a greater appreciation for archaeology among researchers, resource managers, and the general
public.
Avian Vocalization Adjustment to Urbanization and Anthropogenic Noise_ A Revi...Maxson Jarecki
This document summarizes research on how birds adjust their vocalizations in urban environments in response to anthropogenic noise. It finds that birds that already have high frequency vocalizations are better able to inhabit cities, as low frequency calls are more easily masked by urban noise. Within urban areas, passerine birds with lower baseline frequencies are more likely to further increase their call frequencies. However, evidence suggests frequency changes may not be a directly adaptive response, but rather a byproduct of increasing call volume amplitudes to compensate for noise. The strength of evidence for frequency changes enhancing communication is debated in the literature.
1. The document analyzes land cover change in the Trifinio region, a protected area spanning Guatemala, Honduras, and El Salvador using satellite imagery from 2000-2015.
2. Preliminary results found land cover changes from forest to bare soil from 2005-2010 which coincided with a severe drought, and forests recovered by 2015.
3. Future research could create new land cover classifications to better detect forest variation over time and assess the effectiveness of each country's conservation policies in the transnational region.
Assessing the importance of geo hydrological data acquisition in the developm...Alexander Decker
The document discusses two groundwater flow models developed for Lagos, Nigeria and Birmingham, UK. The Birmingham model had extensive geo-hydrological data including geology, groundwater levels, recharge rates, abstraction data, and aquifer parameters obtained from field tests. This allowed for detailed discretization, calibration, and reliable predictive capabilities. The Lagos model had limited data, requiring interpolation and extrapolation. It had coarse discretization and assumed parameters. This greatly limited its reliability and predictive ability. The document recommends improving Nigeria's geo-hydrological data acquisition and accessibility to enable more effective water resources management planning and modeling.
Obstacle Size and Trail–Clearing Activity in Leaf–Cutter Ants, Atta colombicaMaxson Jarecki
This study found that there is a power curve relationship between the length of leaf obstacles placed on Atta colombica ant trails and the time taken by the ants to remove the obstacles. Leaf obstacles over 5cm in length were cut into pieces using the same techniques the ants use for leaf harvesting. Though there were no significant differences found between forests with different rainfall levels or between morning and afternoon time periods, the small sample size means a larger study could reveal differences based on humidity, temperature, and other microclimate variables. Further research is needed to fully examine the effects of these factors on individual ant obstacle removal rates.
This document summarizes a study comparing the ecology of two ponds in southern India with different management practices. Water quality parameters and plant biodiversity were analyzed seasonally. One pond hosted migratory birds and was protected as a wildlife reserve, while the other was used for irrigation and faced more human impacts. Water quality varied between ponds, with higher sulfate levels in the migratory bird pond. More plant species and individuals were found in the protected pond, indicating it supported a more stable ecosystem. The study highlights the importance of understanding pond ecology in relation to utilization and management for conservation.
This study mapped critical habitats for migratory fish species in the upper Grande River region of Brazil. Floodplain lakes were identified in all tributaries and stretches of the Grande River using remote sensing, although all areas had less than half of original riparian vegetation remaining. Ichthyoplankton sampling found the Mortes and Aiuruoca tributaries had the highest densities of eggs and larvae, identifying them as essential spawning sites and recruitment areas. Mapping of habitats and identification of key spawning locations will aid conservation efforts for migratory fish species in the basin.
Ecological Marine Units: A 3-D Mapping of the Ocean Based on NOAA’s World Oce...Dawn Wright
This webinar to the Ecosystem Based Management Tools Network, May 17, 2017, reported progress on the Ecological Marine Units (EMU) project, a new undertaking commissioned by the Group on Earth Observations, to develop a standardized and practical global ecosystems classification and map for the oceans. The EMU is comprised of a global point mesh framework, created from 52,487,233 points from the NOAA World Ocean Atlas. Each point has x, y, z, as well as six attributes of chemical and physical oceanographic structure (temperature, salinity, dissolved oxygen, nitrate, silicate, phosphate) that are likely drivers of many ecosystem responses. We identify and map 37 environmentally distinct 3D regions (candidate ‘ecosystems’) within the water column. These units can be attributed according to their productivity, direction and velocity of currents, species abundance, global seafloor geomorphology, and more. A series of data products for open access will share the 3D point mesh and EMU clusters at the surface, bottom, and within the water column, as well as 2D and 3D web apps for exploration of the EMUs and the original World Ocean Atlas data. This webinar provided an overview of the EMU project and cover recent developments and future plans for the EMUs. Webinar recording at https://www.openchannels.org/webinars/2017/ecological-marine-units-3-d-mapping-ocean-based-noaas-world-ocean-atlas
Flood Vulnerability Study in Parts of Oyo Township Using GIS and Remote Sensingpaperpublications3
Abstract: Flooding has been a major environmental disaster frequently occurring in the cities of Tropical African countries differing solutions because of human dimension difficulty to be modelled. The analysis of flood events, the resulting damage and its causes are basis for the development of risk prevention and mitigation measures. The aim of this research is to empirically investigate the vulnerability towards flood in parts of Oyo Township as one component of flood risk assessment with the integration of Geographic Information Systems and Remote Sensing to investigate the contravention level of people in a rapidly urbanizing settlement of Oyo Township to building ethics and rules, which is a tool for rational decision making. It is therefore revealed that the methodology adopted produced and classified buildings in the study area according to their vulnerability levels to flood and the results are presented in maps. The generation of vulnerability maps representing the two different perspectives of local decision makers (experts) and affected households is discussed using the methodology.
This document discusses including geospatial habitat information into a database on species interactions in the Gulf of Mexico. The researchers are using the Coastal and Marine Ecological Classification Standard to classify spatial data on depth, vegetation cover, geology and location to map habitats. They extract habitat data from past research papers and model geographical areas to add to the database. Sites are georeferenced with ecological data using the CMECS framework of biogeographic settings, water column, geoform, substrate and biotic components.
The document discusses the concept of the Anthropocene geological epoch, defined as the current period in which human activity has been the dominant influence on climate and the environment. It provides background on when the term originated in the 1980s and its increasing usage and debate within the scientific community. The document argues that the designation of an Anthropocene epoch could mark a profound cultural shift in how humanity perceives its relationship with the planet.
This study aims to quantify the direct and indirect adverse effects of proposed mining infrastructure in Ontario's Ring of Fire region on species at risk, including road mortality, habitat loss, and habitat fragmentation. The study will map species ranges and infrastructure elements, calculate habitat losses within avoidance distances of each species, and rank species in terms of conservation priority based on their sensitivity to development impacts. Preliminary results suggest woodland caribou and wolverine should be the focal conservation species, with efforts focused in areas north of Ontario's Far North boundary experiencing compound effects from development.
PERFORMANCE COMPARISON BETWEEN THE ORIGINAL FORMS OF BIOGEOGRAPHY-BASED OPTIM...csandit
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and
one of meta-heuristic algorithms. This technique is based on an old mathematical study that
explains the geographical distribution of biological organisms. The first original form of BBO
was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO
was re-introduced again with additional three other forms and known as single, simplified
partial, and simplified single migration based BBOs. Then a lot of modifications were employed
to enhance the performance of BBO. However, the literature lacks the explanations and the
reasons on which the modifications are based on. This paper tries to clarify this issue by making
a comparison between the four original BBO algorithms through a variety of benchmark
functions with different dimensions and complexities. The results show that both single and
simplified single migration based BBOs are faster, but have less performance as compared to
the others. The comparison between the partial and the simplified partial migration based BBOs
shows that the preference depends on the population size, problem’s complexity and dimensions
and the values of the upper and lower side constraints. The partial migration model wins when
these factors, except population size, are increased, and vice versa for the simplified partial
migration model. The results can be used as a foundation and a first step of modification for
enhancing any proposed modification on BBO including the existing modifications that are
described in literature.
A comprehensive comparison of the original forms of biogeography based optimi...ijscai
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. After three months, BBO was re-introduced again with additional three other forms and known as single, simplified partial, and simplified single migration based BBOs. Then a lot of modifications and hybridizations were employed to boost-up the performance of BBO and solve its weak exploration. However, the literature lacks the explanations and the reasons on which the modifications of the BBO forms are based on. This paper tries to clarify this issue by making a comparison between the four original BBO algorithms through 23 benchmark functions with different dimensions and complexities. The final judgment is confirmed by evaluating the performance based on the effect of the problem’s dimensions, the side constraints and the population size. The results show that both single and simplified single migration based BBOs are faster, but have less performance as compared to the others. The comparison between the partial and the simplified partial migration based BBOs shows that the preference depends on the population size, problem’s complexity and dimensions, and the values of the upper and lower side constraints. The partial migration model wins when these factors, except the population size, are increased, and vice versa for the simplified partial migration model. The results can be used as a foundation and a first step of modification for enhancing any proposed modification on BBO including the existing modifications that are described in literature.
ESSENTIAL MODIFICATIONS ON BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHMcscpconf
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications were employed to enhance its performance. This paper proposes two modifications; firstly, modifying the probabilistic selection process of the migration and mutation stages to give a fairly randomized selection for all the features of the islands. Secondly, the clear duplication process after the mutation stage is sized to avoid any corruption on the suitability index variables. The obtained results through wide variety range of test functions with different dimensions and complexities proved that the BBO performance can be enhanced effectively
without using any complicated form of the immigration and emigration rates. This essential modification has to be considered as an initial step for any other modification.
ESSENTIAL MODIFICATIONS ON BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHMcsandit
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and
is based on an old theory of island biogeography that explains the geographical distribution of
biological organisms. BBO was introduced in 2008 and then a lot of modifications were
employed to enhance its performance. This paper proposes two modifications; firstly,
modifying the probabilistic selection process of the migration and mutation stages to give a
fairly randomized selection for all the features of the islands. Secondly, the clear duplication
process after the mutation stage is sized to avoid any corruption on the suitability index
variables. The obtained results through wide variety range of test functions with different
dimensions and complexities proved that the BBO performance can be enhanced effectively
without using any complicated form of the immigration and emigration rates. This essential
modification has to be considered as an initial step for any other modification.
Essential Modifications on Biogeography-Based Optimization AlgorithmXperiaZ1
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications were employed to enhance its performance. This paper proposes two modifications; firstly, modifying the probabilistic selection process of the migration and mutation stages to give a fairly randomized selection for all the features of the islands. Secondly, the clear duplication process after the mutation stage is sized to avoid any corruption on the suitability index variables. The obtained results through wide variety range of test functions with different dimensions and complexities proved that the BBO performance can be enhanced effectively without using any complicated form of the immigration and emigration rates. This essential modification has to be considered as an initial step for any other modification.
Solving the Associated Weakness of Biogeography-Based Optimization Algorithm ijsc
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications and hybridizations were employed to enhance its performance. The researchers found that the original version of BBO has some weakness on its exploration. This paper tries to solve the root problems itself instead of solving its effect by using different techniques. It proposes two modifications; firstly, modifying the probabilistic selection process of the migration and mutation stages to give a fairly randomized selection for all the features of the islands. Secondly, the clear duplication process, which is located after the mutation stage, is sized to avoid any corruption on the suitability index variables of the non-mutated islands. The proposed modifications are extensively tested on 120 test functions with different dimensions and complexities. The results proved that the BBO performance can be enhanced effectively without embedding any additional sub-algorithm, and without using any complicated form of the immigration and emigration rates. In addition, the new BBO algorithm requires less CPU time and becomes even faster than the original simplified partial migration-based BBO. These essential modifications have to be considered as an initial step for any other modifications.
Solving the associated weakness of biogeography based optimization algorithmijsc
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications and hybridizations were employed to enhance its performance. The researchers found that the original version of BBO has some weakness on its exploration. This paper tries to solve the root problems itself instead of solving its effect by using different techniques. It proposes two modifications; firstly, modifying the probabilistic selection process of the migration and mutation stages to give a fairly randomized selection for all the features of the islands. Secondly, the clear duplication process, which is located after the mutation stage, is sized to avoid any corruption on the suitability index variables of the non-mutated islands. The proposed modifications are extensively tested on 120 test functions with different dimensions and complexities. The results proved that the BBO performance can be enhanced effectively without embedding any additional sub-algorithm, and without using any complicated form of the immigration and emigration rates. In addition, the new BBO algorithm requires less CPU time and becomes even faster than the original simplified partial migration-based BBO. These essential modifications have to be considered as an initial step for any other modifications.
The ecological and evolutionary significance of the crocodile-plover symbiosi...AI Publications
The present study investigates the epibiotic relationship between the Nile crocodlei (Crocodylus niloticus) and the Egyptian plover (Pluvianus aegyptius), also known as the crocodile bird. Epibiosis is a form of symbiosis where one organism resides on the surface of another. To understand this relationship, the present study examines the ecological and evolutionary context of it, as well as the behavioral and physiological mechanisms that facilitate it. Furthermore, the present study evaluates the implications and challenges for conservation of this relationship. To achieve these objectives, a literature review on this topic summarizes the main findings, which indicate that the crocodile offers a safe habitat for the plover to roost and nest, while the plover cleans the crocodile’s teeth and removes parasites. However, the present study also identifies the limitations and gaps in the current knowledge and proposes directions for future research. This study argues that this relationship between living organisms is a remarkable case of cooperation and confidence in nature, and that it deserves more interest from researchers and decision-makers.
Limites planetarios planetary boundaries guiding human development on a cha...Paula Machado
This research article proposes revisions to the planetary boundary framework, which defines a safe operating space for humanity based on Earth's biophysical processes. The authors update several of the planetary boundaries based on new scientific evidence and input from experts. They introduce a two-tiered approach for some boundaries to account for regional heterogeneity. They also identify two "core" boundaries - climate change and biosphere integrity - that could drive the Earth system into an uninhabitable state if substantially transgressed. Currently, human impacts have exceeded proposed boundaries for climate change, biosphere integrity, biogeochemical flows, and land-system change.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document summarizes a paper that analyzes using biogeography-based optimization (BBO) to optimize neural network backpropagation. BBO is an evolutionary algorithm inspired by biogeography and how species migrate between habitats. In BBO, potential solutions are represented as habitats, with higher quality solutions having higher habitat suitability indices (HSI). Lower HSI habitats accept more new features from higher HSI habitats. The paper applies this by using BBO to optimize the connection weights and thresholds in neural network backpropagation. BBO searches for optimal or near-optimal values to improve the neural network training.
How Many Species Are There on Earth and in the Ocean?Pablo Scherrer
This document summarizes a study that estimated the total number of species on Earth and in the oceans. The study analyzed taxonomic data from over 1.2 million currently catalogued species. It found that the number of higher taxonomic groups (e.g. genera, families) is strongly correlated with taxonomic rank across all domains of life. Using this pattern, the study estimated there are approximately 8.7 million eukaryotic species globally, including 2.2 million marine species. It also estimated at least 10,100 prokaryotic species, including 1,320 marine species. The study concluded that 86% of all species on land and 91% of ocean species still remain undiscovered.
Behavioral signature of intraspecific competition anddensity.docxAASTHA76
This document summarizes a study that analyzed the movement patterns and foraging behavior of gray seals from a large breeding colony on Sable Island, Nova Scotia using satellite tracking data. The study found evidence that young-of-year juvenile seals were being displaced from foraging areas near the colony by adult female seals, especially in summer. This displacement was likely due to the juveniles' lesser diving abilities and intraspecific competition for resources with adults. Combined with data showing declining juvenile survival rates, this provides evidence that density-dependent population regulation is occurring in the form of compensatory competition between age classes.
Human ecology is an interdisciplinary field that studies the relationship between humans and their natural, social, and built environments. It draws from various disciplines like ecology, geography, sociology, and anthropology. Human ecology views populations as operating within specific space-time contexts and examines how environmental factors influence human demographics, behavior, and culture. It also considers how human activities impact the biosphere. Concepts in human ecology include carrying capacity, which represents the maximum population size an environment can sustain, and cultural ecology, which focuses on how the environment shapes human societies and cultures.
While it was traditionally thought that urbanization would decrease avian biodiversity due to habitat loss and other disturbances, this report investigates the effects of urbanization on bird diversity in southwest England. Bird surveys were conducted in 2013 and 2014 at the rural Penryn campus and more urban Streatham campus of the University of Exeter. The results found little difference in bird diversity between years or locations. However, issues with pseudoreplication and differences between sites limit the conclusions that can be drawn. Future studies could improve methodology to better understand the impacts of varying degrees of urbanization on avian communities.
There are several aspects in which the components of geography and ecology are similar in their concepts and applications.
In several areas, these two subjects also go hand-in-hand.
Geography and ecology are related to each other. An understanding of ecology and its relation with geography is needed. This module explains their inter-relationships.
Analysis of Bird Habitat Suitability in Chongming Island Based on GIS and Fra...AI Publications
With the development of society, the degree of human exploitation of nature is becoming more profound, which makes the fragmentation of the global environment more serious, leading to the reduction of species' Lebensraum and having a huge negative impact on the survival and development of various species. In this paper, we select the Chongming Island area in Shanghai as the study area and use the landscape pattern analysis and suitability analysis methods to comprehensively analyze the characteristics of the habitat pattern in this area as well as the suitability impact on the local birds. The research results show that the fragmentation of local habitats has decreased, but the connectivity between patches is low, and the changes in bird populations are relatively stable, showing a stable and positive trend.
Wagner College Forum for Undergraduate Research, Vol 13 No 2Wagner College
The Spring 2015 issue contains papers by Alexandria Mary Zummo, Justin S.E. Bulova, William Pegg, James Forbes Sheehan, Jessica Catanzaro, Laurie Fogelstrom, Krag Kerr, Aisha Raheel, Kailin Newlin-Wagner and Quincy Rasin.
fish population dynamics, Population structureDegonto Islam
Estimation of fish population dynamics are often based on age structures. Understanding past
population structure is of interest to evolutionary biologists because it can reveal when migration
regimes changed in natural populations, thereby pointing to potential environmental factors such as
climate changes as driving evolutionary forces. Characterizing the structure of extent populations is also
key to conservation genetics as translocation or reintroduction decisions must preserve evolutionary
stable units. Finally, population structure has important biomedical consequences either when a number
of subpopulation groups is locally adapted to particular environmental conditions (and maladapted
when exposed to new environments) or represents a confounding factor in the study of the statistical
association between genetic variants and phenotyp
Freshwater gastropod diversity in the selected lotic environment, Betong, Sar...AbdullaAlAsif1
Freshwater Gastropoda can be considered as the biological indicator in ecosystems such as rivers, streams, lakes, and ponds. The objectives of this study are to identify freshwater gastropod species, diversity, and distribution along Sungai Penebak, Sungai Nanga Tiga, and Sungai Kabo in the Betong division. The study was conducted on 10 November 2020. A 50 m transect was laid on the riverbank of all three stations. The existing specimens were counted and collected from each sampling point and stored were taken to the laboratory for species identification. The diversity index and morphological study of freshwater gastropods were performed. Five species of freshwater gastropods belonging to four families were discovered. The five species of freshwater gastropods consisted of Sulcospira pageli, which shows great abundance, followed by Clea nigricans, Brotia costula, Pila ampullacea, and Vittina pennata. The diversity indices of collected Gastropoda species from the different stations, for instance, Shannon Weiner diversity index (H’), Pielou’s evenness index (J’), and Margalef’s richness index were assessed; where station 3 showed higher diversity of Gastropoda compared to other two stations. The information presented in this paper might be helpful for ecological wealth studies and considered as the baseline data for the stream ecosystem in Sarawak, Malaysia.
1) The study analyzed patterns of beta diversity in dung beetle communities across three spatial scales - local (between sites), intermediate (between areas), and regional (between mainland and island) in the Brazilian Atlantic Forest.
2) Beta diversity was highest at the regional scale between mainland and island, followed by the local scale between sites. Beta diversity was lowest between areas.
3) Environmental heterogeneity had more influence on beta diversity at smaller local scales, while spatial factors were more important drivers at larger intermediate and regional scales likely due to limitations in species dispersal abilities.
Similar to PERFORMANCE COMPARISON BETWEEN THE ORIGINAL FORMS OF BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHMS (20)
ANALYSIS OF LAND SURFACE DEFORMATION GRADIENT BY DINSAR cscpconf
The progressive development of Synthetic Aperture Radar (SAR) systems diversify the exploitation of the generated images by these systems in different applications of geoscience. Detection and monitoring surface deformations, procreated by various phenomena had benefited from this evolution and had been realized by interferometry (InSAR) and differential interferometry (DInSAR) techniques. Nevertheless, spatial and temporal decorrelations of the interferometric couples used, limit strongly the precision of analysis results by these techniques. In this context, we propose, in this work, a methodological approach of surface deformation detection and analysis by differential interferograms to show the limits of this technique according to noise quality and level. The detectability model is generated from the deformation signatures, by simulating a linear fault merged to the images couples of ERS1 / ERS2 sensors acquired in a region of the Algerian south.
4D AUTOMATIC LIP-READING FOR SPEAKER'S FACE IDENTIFCATIONcscpconf
A novel based a trajectory-guided, concatenating approach for synthesizing high-quality image real sample renders video is proposed . The lips reading automated is seeking for modeled the closest real image sample sequence preserve in the library under the data video to the HMM predicted trajectory. The object trajectory is modeled obtained by projecting the face patterns into an KDA feature space is estimated. The approach for speaker's face identification by using synthesise the identity surface of a subject face from a small sample of patterns which sparsely each the view sphere. An KDA algorithm use to the Lip-reading image is discrimination, after that work consisted of in the low dimensional for the fundamental lip features vector is reduced by using the 2D-DCT.The mouth of the set area dimensionality is ordered by a normally reduction base on the PCA to obtain the Eigen lips approach, their proposed approach by[33]. The subjective performance results of the cost function under the automatic lips reading modeled , which wasn’t illustrate the superior performance of the
method.
MOVING FROM WATERFALL TO AGILE PROCESS IN SOFTWARE ENGINEERING CAPSTONE PROJE...cscpconf
Universities offer software engineering capstone course to simulate a real world-working environment in which students can work in a team for a fixed period to deliver a quality product. The objective of the paper is to report on our experience in moving from Waterfall process to Agile process in conducting the software engineering capstone project. We present the capstone course designs for both Waterfall driven and Agile driven methodologies that highlight the structure, deliverables and assessment plans.To evaluate the improvement, we conducted a survey for two different sections taught by two different instructors to evaluate students’ experience in moving from traditional Waterfall model to Agile like process. Twentyeight students filled the survey. The survey consisted of eight multiple-choice questions and an open-ended question to collect feedback from students. The survey results show that students were able to attain hands one experience, which simulate a real world-working environment. The results also show that the Agile approach helped students to have overall better design and avoid mistakes they have made in the initial design completed in of the first phase of the capstone project. In addition, they were able to decide on their team capabilities, training needs and thus learn the required technologies earlier which is reflected on the final product quality
PROMOTING STUDENT ENGAGEMENT USING SOCIAL MEDIA TECHNOLOGIEScscpconf
This document discusses using social media technologies to promote student engagement in a software project management course. It describes the course and objectives of enhancing communication. It discusses using Facebook for 4 years, then switching to WhatsApp based on student feedback, and finally introducing Slack to enable personalized team communication. Surveys found students engaged and satisfied with all three tools, though less familiar with Slack. The conclusion is that social media promotes engagement but familiarity with the tool also impacts satisfaction.
A SURVEY ON QUESTION ANSWERING SYSTEMS: THE ADVANCES OF FUZZY LOGICcscpconf
In real world computing environment with using a computer to answer questions has been a human dream since the beginning of the digital era, Question-answering systems are referred to as intelligent systems, that can be used to provide responses for the questions being asked by the user based on certain facts or rules stored in the knowledge base it can generate answers of questions asked in natural , and the first main idea of fuzzy logic was to working on the problem of computer understanding of natural language, so this survey paper provides an overview on what Question-Answering is and its system architecture and the possible relationship and
different with fuzzy logic, as well as the previous related research with respect to approaches that were followed. At the end, the survey provides an analytical discussion of the proposed QA models, along or combined with fuzzy logic and their main contributions and limitations.
DYNAMIC PHONE WARPING – A METHOD TO MEASURE THE DISTANCE BETWEEN PRONUNCIATIONS cscpconf
Human beings generate different speech waveforms while speaking the same word at different times. Also, different human beings have different accents and generate significantly varying speech waveforms for the same word. There is a need to measure the distances between various words which facilitate preparation of pronunciation dictionaries. A new algorithm called Dynamic Phone Warping (DPW) is presented in this paper. It uses dynamic programming technique for global alignment and shortest distance measurements. The DPW algorithm can be used to enhance the pronunciation dictionaries of the well-known languages like English or to build pronunciation dictionaries to the less known sparse languages. The precision measurement experiments show 88.9% accuracy.
INTELLIGENT ELECTRONIC ASSESSMENT FOR SUBJECTIVE EXAMS cscpconf
In education, the use of electronic (E) examination systems is not a novel idea, as Eexamination systems have been used to conduct objective assessments for the last few years. This research deals with randomly designed E-examinations and proposes an E-assessment system that can be used for subjective questions. This system assesses answers to subjective questions by finding a matching ratio for the keywords in instructor and student answers. The matching ratio is achieved based on semantic and document similarity. The assessment system is composed of four modules: preprocessing, keyword expansion, matching, and grading. A survey and case study were used in the research design to validate the proposed system. The examination assessment system will help instructors to save time, costs, and resources, while increasing efficiency and improving the productivity of exam setting and assessments.
TWO DISCRETE BINARY VERSIONS OF AFRICAN BUFFALO OPTIMIZATION METAHEURISTICcscpconf
African Buffalo Optimization (ABO) is one of the most recent swarms intelligence based metaheuristics. ABO algorithm is inspired by the buffalo’s behavior and lifestyle. Unfortunately, the standard ABO algorithm is proposed only for continuous optimization problems. In this paper, the authors propose two discrete binary ABO algorithms to deal with binary optimization problems. In the first version (called SBABO) they use the sigmoid function and probability model to generate binary solutions. In the second version (called LBABO) they use some logical operator to operate the binary solutions. Computational results on two knapsack problems (KP and MKP) instances show the effectiveness of the proposed algorithm and their ability to achieve good and promising solutions.
DETECTION OF ALGORITHMICALLY GENERATED MALICIOUS DOMAINcscpconf
In recent years, many malware writers have relied on Dynamic Domain Name Services (DDNS) to maintain their Command and Control (C&C) network infrastructure to ensure a persistence presence on a compromised host. Amongst the various DDNS techniques, Domain Generation Algorithm (DGA) is often perceived as the most difficult to detect using traditional methods. This paper presents an approach for detecting DGA using frequency analysis of the character distribution and the weighted scores of the domain names. The approach’s feasibility is demonstrated using a range of legitimate domains and a number of malicious algorithmicallygenerated domain names. Findings from this study show that domain names made up of English characters “a-z” achieving a weighted score of < 45 are often associated with DGA. When a weighted score of < 45 is applied to the Alexa one million list of domain names, only 15% of the domain names were treated as non-human generated.
GLOBAL MUSIC ASSET ASSURANCE DIGITAL CURRENCY: A DRM SOLUTION FOR STREAMING C...cscpconf
The document proposes a blockchain-based digital currency and streaming platform called GoMAA to address issues of piracy in the online music streaming industry. Key points:
- GoMAA would use a digital token on the iMediaStreams blockchain to enable secure dissemination and tracking of streamed content. Content owners could control access and track consumption of released content.
- Original media files would be converted to a Secure Portable Streaming (SPS) format, embedding watermarks and smart contract data to indicate ownership and enable validation on the blockchain.
- A browser plugin would provide wallets for fans to collect GoMAA tokens as rewards for consuming content, incentivizing participation and addressing royalty discrepancies by recording
IMPORTANCE OF VERB SUFFIX MAPPING IN DISCOURSE TRANSLATION SYSTEMcscpconf
This document discusses the importance of verb suffix mapping in discourse translation from English to Telugu. It explains that after anaphora resolution, the verbs must be changed to agree with the gender, number, and person features of the subject or anaphoric pronoun. Verbs in Telugu inflect based on these features, while verbs in English only inflect based on number and person. Several examples are provided that demonstrate how the Telugu verb changes based on whether the subject or pronoun is masculine, feminine, neuter, singular or plural. Proper verb suffix mapping is essential for generating natural and coherent translations while preserving the context and meaning of the original discourse.
EXACT SOLUTIONS OF A FAMILY OF HIGHER-DIMENSIONAL SPACE-TIME FRACTIONAL KDV-T...cscpconf
In this paper, based on the definition of conformable fractional derivative, the functional
variable method (FVM) is proposed to seek the exact traveling wave solutions of two higherdimensional
space-time fractional KdV-type equations in mathematical physics, namely the
(3+1)-dimensional space–time fractional Zakharov-Kuznetsov (ZK) equation and the (2+1)-
dimensional space–time fractional Generalized Zakharov-Kuznetsov-Benjamin-Bona-Mahony
(GZK-BBM) equation. Some new solutions are procured and depicted. These solutions, which
contain kink-shaped, singular kink, bell-shaped soliton, singular soliton and periodic wave
solutions, have many potential applications in mathematical physics and engineering. The
simplicity and reliability of the proposed method is verified.
AUTOMATED PENETRATION TESTING: AN OVERVIEWcscpconf
The document discusses automated penetration testing and provides an overview. It compares manual and automated penetration testing, noting that automated testing allows for faster, more standardized and repeatable tests but has limitations in developing new exploits. It also reviews some current automated penetration testing methodologies and tools, including those using HTTP/TCP/IP attacks, linking common scanning tools, a Python-based tool targeting databases, and one using POMDPs for multi-step penetration test planning under uncertainty. The document concludes that automated testing is more efficient than manual for known vulnerabilities but cannot replace manual testing for discovering new exploits.
CLASSIFICATION OF ALZHEIMER USING fMRI DATA AND BRAIN NETWORKcscpconf
Since the mid of 1990s, functional connectivity study using fMRI (fcMRI) has drawn increasing
attention of neuroscientists and computer scientists, since it opens a new window to explore
functional network of human brain with relatively high resolution. BOLD technique provides
almost accurate state of brain. Past researches prove that neuro diseases damage the brain
network interaction, protein- protein interaction and gene-gene interaction. A number of
neurological research paper also analyse the relationship among damaged part. By
computational method especially machine learning technique we can show such classifications.
In this paper we used OASIS fMRI dataset affected with Alzheimer’s disease and normal
patient’s dataset. After proper processing the fMRI data we use the processed data to form
classifier models using SVM (Support Vector Machine), KNN (K- nearest neighbour) & Naïve
Bayes. We also compare the accuracy of our proposed method with existing methods. In future,
we will other combinations of methods for better accuracy.
VALIDATION METHOD OF FUZZY ASSOCIATION RULES BASED ON FUZZY FORMAL CONCEPT AN...cscpconf
The document proposes a new validation method for fuzzy association rules based on three steps: (1) applying the EFAR-PN algorithm to extract a generic base of non-redundant fuzzy association rules using fuzzy formal concept analysis, (2) categorizing the extracted rules into groups, and (3) evaluating the relevance of the rules using structural equation modeling, specifically partial least squares. The method aims to address issues with existing fuzzy association rule extraction algorithms such as large numbers of extracted rules, redundancy, and difficulties with manual validation.
PROBABILITY BASED CLUSTER EXPANSION OVERSAMPLING TECHNIQUE FOR IMBALANCED DATAcscpconf
In many applications of data mining, class imbalance is noticed when examples in one class are
overrepresented. Traditional classifiers result in poor accuracy of the minority class due to the
class imbalance. Further, the presence of within class imbalance where classes are composed of
multiple sub-concepts with different number of examples also affect the performance of
classifier. In this paper, we propose an oversampling technique that handles between class and
within class imbalance simultaneously and also takes into consideration the generalization
ability in data space. The proposed method is based on two steps- performing Model Based
Clustering with respect to classes to identify the sub-concepts; and then computing the
separating hyperplane based on equal posterior probability between the classes. The proposed
method is tested on 10 publicly available data sets and the result shows that the proposed
method is statistically superior to other existing oversampling methods.
CHARACTER AND IMAGE RECOGNITION FOR DATA CATALOGING IN ECOLOGICAL RESEARCHcscpconf
Data collection is an essential, but manpower intensive procedure in ecological research. An
algorithm was developed by the author which incorporated two important computer vision
techniques to automate data cataloging for butterfly measurements. Optical Character
Recognition is used for character recognition and Contour Detection is used for imageprocessing.
Proper pre-processing is first done on the images to improve accuracy. Although
there are limitations to Tesseract’s detection of certain fonts, overall, it can successfully identify
words of basic fonts. Contour detection is an advanced technique that can be utilized to
measure an image. Shapes and mathematical calculations are crucial in determining the precise
location of the points on which to draw the body and forewing lines of the butterfly. Overall,
92% accuracy were achieved by the program for the set of butterflies measured.
SOCIAL MEDIA ANALYTICS FOR SENTIMENT ANALYSIS AND EVENT DETECTION IN SMART CI...cscpconf
Smart cities utilize Internet of Things (IoT) devices and sensors to enhance the quality of the city
services including energy, transportation, health, and much more. They generate massive
volumes of structured and unstructured data on a daily basis. Also, social networks, such as
Twitter, Facebook, and Google+, are becoming a new source of real-time information in smart
cities. Social network users are acting as social sensors. These datasets so large and complex
are difficult to manage with conventional data management tools and methods. To become
valuable, this massive amount of data, known as 'big data,' needs to be processed and
comprehended to hold the promise of supporting a broad range of urban and smart cities
functions, including among others transportation, water, and energy consumption, pollution
surveillance, and smart city governance. In this work, we investigate how social media analytics
help to analyze smart city data collected from various social media sources, such as Twitter and
Facebook, to detect various events taking place in a smart city and identify the importance of
events and concerns of citizens regarding some events. A case scenario analyses the opinions of
users concerning the traffic in three largest cities in the UAE
SOCIAL NETWORK HATE SPEECH DETECTION FOR AMHARIC LANGUAGEcscpconf
The anonymity of social networks makes it attractive for hate speech to mask their criminal
activities online posing a challenge to the world and in particular Ethiopia. With this everincreasing
volume of social media data, hate speech identification becomes a challenge in
aggravating conflict between citizens of nations. The high rate of production, has become
difficult to collect, store and analyze such big data using traditional detection methods. This
paper proposed the application of apache spark in hate speech detection to reduce the
challenges. Authors developed an apache spark based model to classify Amharic Facebook
posts and comments into hate and not hate. Authors employed Random forest and Naïve Bayes
for learning and Word2Vec and TF-IDF for feature selection. Tested by 10-fold crossvalidation,
the model based on word2vec embedding performed best with 79.83%accuracy. The
proposed method achieve a promising result with unique feature of spark for big data.
GENERAL REGRESSION NEURAL NETWORK BASED POS TAGGING FOR NEPALI TEXTcscpconf
This article presents Part of Speech tagging for Nepali text using General Regression Neural
Network (GRNN). The corpus is divided into two parts viz. training and testing. The network is
trained and validated on both training and testing data. It is observed that 96.13% words are
correctly being tagged on training set whereas 74.38% words are tagged correctly on testing
data set using GRNN. The result is compared with the traditional Viterbi algorithm based on
Hidden Markov Model. Viterbi algorithm yields 97.2% and 40% classification accuracies on
training and testing data sets respectively. GRNN based POS Tagger is more consistent than the
traditional Viterbi decoding technique.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
2. Computer Science & Information Technology (CS & IT) 122
that was introduced by Dan Simon in 2008 [1], and its performance was evaluated based on 14
benchmark functions, and then was tested to solve a real sensor selection problem for aircraft
engine health estimation. BBO did well and proved that it is a very competitive method as
compared to the other EAs. Since then, a lot of researches have been conducted, some of them to
solve practical problems such as economic emission load dispatch [20], land cover feature
extraction [21], and unit commitment [22]; while the others were focused to enhance and modify
its performance [23,24,25,26,27,29,33].
The objective of this paper is to outline a clear path for selecting the best algorithm among the
four original forms, and thus, any present modification with wrong selected form can be reviewed
again with this guidance to enhance its performance. In addition, it can be used as a foundation
for any future modification.
This paper is organized as follows: Section II gives a quick introduction about the theory of island
biogeography to be as a strong basis to understand the principles of the original BBOs which are
described in Section III; after that, Section IV gives a comparison between the original forms of
BBO. Section V is set for the conclusions.
2. THE THEORY OF ISLAND BIOGEOGRAPHY
Biogeography is a branch of biology, and it is a synthetic discipline, relying heavily on theory and
data from ecology, population biology, systematics, evolutionary biology, and the earth sciences
[4]. Biogeography seeks to describe, analyze and explain the geographic patterns and changing
distributions of ecosystems and fossil species of plants (flora) and animals (fauna) through
geological space and time [5, 6].
Island, in biogeography, is any area of suitable habitat (local environment occupied by an
organism [7]) surrounded by an expense of unsuitable habitat and is endowed with exceptionally
rich reservoirs of endemic, exclusive, strange and relict species [8]. Islands as ecological systems
have such salient features as simple biotas, varying combinations of biotic and abiotic factors, and
variability in isolation, shape, and size [9,14]. With these characteristics, islands represent
themselves as natural experiments, and got highly attentions by the nineteenth century naturalists
of the first rank, such as Alfred R. Wallace in East Indies [10], Charles Darwin in Galapagos
Islands [11] and Joseph D. Hooker in Southern Ocean [12].
Island biogeography is a special field within biogeography science. This field was initially started
by the ecologists Robert H. MacArthur and Edward O. Wilson in 1960 to 1963 with their
published paper [2], and continued their studies till 1967 when the final achievement were
presented in [3]; and recently, this theory has been revisited and expanded more in [13].
Island biogeography theory fully integrates much of ecology, population biology, evolution, and
paleontology, with important implications for conservation of species [13]. It was developed with
mathematical models for attempting to translate the ecology and biogeography from the
traditional view to analytical view, and answering why some islands are rich of species while the
others are poor, by establishing and explaining the biotic (like predation, competition and
interactions between species) and abiotic (like wind, water, sunlight, temperature, pressure and
soil) factors that affect the species richness of natural communities in an island [15]. Thus, it
gives the ability to predict the species counts that migrate between islands and then can find the
optimum conservation areas [4,5,6,8].
3. 123 Computer Science & Information Technology (CS & IT)
The equilibrium theory of island biogeography proposes that the number of inhabited species on
an island is based on the dynamic equilibrium between new immigrated species onto an island
and the extinct species out from that island [2,3,13].
Fig. 1 graphically represents the equilibrium model
rate λ and emigration (or extinction) rate
any proper function [4,16,17], while the equilibrium loca
based on the type of rate function
source and recipient islands [4,3,13].
Figure 1. Equilibrium model of a biota of a
I and E are the maximum possible immigration and emigration rates, respectively.
number of species at equilibrium,
maximum number of species on that island.
I occurs when there is no colonization process, or in other word, the island is empty of any
species and it will offer maximum opportunity to the species on the other islands for immigrating
to settle on it; and as the number of arrived species on that island i
settlement will decrease and thus the immigration rate will decrease too. Also, as
species density increases, so the predation, competition and parasitism factors will increase; and
as a result, the emigration rate µ
its minimum value [18].
MacArthur and Wilson [2,3] simplified the
I=E as shown in Fig. 2 with mathematical expressions in order to
migration process on a single island happens.
Now, let at time t, the recipient island has
respectively the immigration and emigration rates at the present of
the variation from ܲ௦ሺݐሻ to ܲ௦ሺݐ
ܲ௦ሺݐ ∆ݐሻ ൌ ܲ௦ሺݐሻሺ
Also, ܵመ can be found by using different methods. From the basic of trigonometry:
Computer Science & Information Technology (CS & IT)
ibrium theory of island biogeography proposes that the number of inhabited species on
an island is based on the dynamic equilibrium between new immigrated species onto an island
and the extinct species out from that island [2,3,13].
Fig. 1 graphically represents the equilibrium model with exponential immigration (or speciation)
and emigration (or extinction) rate µ, where they can also be plotted as a logistic, linear or
any proper function [4,16,17], while the equilibrium location will be shifted to the right or left
based on the type of rate functions, the island's area and/or the distance (isolation) between the
source and recipient islands [4,3,13].
. Equilibrium model of a biota of a single island
are the maximum possible immigration and emigration rates, respectively.
number of species at equilibrium, ܶ is the species turnover rate at equilibrium, and
maximum number of species on that island.
urs when there is no colonization process, or in other word, the island is empty of any
species and it will offer maximum opportunity to the species on the other islands for immigrating
to settle on it; and as the number of arrived species on that island increases, the opportunity for
settlement will decrease and thus the immigration rate will decrease too. Also, as λ decreases, the
species density increases, so the predation, competition and parasitism factors will increase; and
µ will increase, and reaches its maximum value E when
MacArthur and Wilson [2,3] simplified theexponential model to be as a linear function, where
with mathematical expressions in order to theoretically explain how the
migration process on a single island happens.
, the recipient island has S species with probabilityܲ௦ሺݐሻ, and ߣ
respectively the immigration and emigration rates at the present of S species on that island. Then
∆ݐሻ can be described as:
ሺ ሻሺ1 െ ߣ௦∆ݐ െ ߤ௦∆ݐሻ ܲ௦ିଵሺݐሻߣ௦ିଵ∆ݐ ܲ௦ାଵሺݐሻߤ௦ାଵ∆
can be found by using different methods. From the basic of trigonometry:
ibrium theory of island biogeography proposes that the number of inhabited species on
an island is based on the dynamic equilibrium between new immigrated species onto an island
with exponential immigration (or speciation)
logistic, linear or
tion will be shifted to the right or left
, the island's area and/or the distance (isolation) between the
are the maximum possible immigration and emigration rates, respectively. ܵመ is the
is the species turnover rate at equilibrium, and ܵ௫ is the
urs when there is no colonization process, or in other word, the island is empty of any
species and it will offer maximum opportunity to the species on the other islands for immigrating
ncreases, the opportunity for
decreases, the
species density increases, so the predation, competition and parasitism factors will increase; and
when λ reaches
as a linear function, where
theoretically explain how the
ߣ௦ and ߤ௦ are
s on that island. Then
∆ݐ (1)
4. Computer Science & Information Technology (CS & IT) 124
ܶ
ܵመ
ൌ
ܧ
ܵ௫
⇒ ܶ ൌ
ܧ
ܵ௫
ܵመ (2)
ܶ
ሺܵ௫ െ ܵመሻ
ൌ
ܫ
ܵ௫
(3)
Figure 2. Simplified equilibrium model of a biota of a single island
Substituting Eq. 2 in Eq. 3 for ܶ:
ܵመ ൌ ൬
ܫ
ܫ ܧ
൰ ܵ௫ (4)
Eq. 4 can also be obtained by equalizing ߣ௦ and ߤ௦ rates at ܵas follows:
ߤ௦ ൌ
ܧ
ܵ௫
ܵ (5)
ߣ௦ ൌ 1 െ ߤ௦ ൌ ܫ ൬1 െ
ܵ
ܵ௫
൰ (6)
ܽݐ ܵ ൌ ܵመ: ߣ௦ ൌ ߤ௦ ⇒ ܫ ቆ1 െ
ܵመ
ܵ௫
ቇ ൌ
ܧ
ܵ௫
ܵመ (7)
Solving Eq. 7 for ܵመ gives Eq. 4; where at the intersection point, the island's biota will be at a state
of dynamic equilibrium, and thus ܲ௦ሺݐ ∆ݐሻ ൌ ܲ௫[1,3,17].
From Eq. 1, to have S at time ሺݐ ∆ݐ), one of the following three conditions should hold:
1. S species at time t, and no immigration or emigration took place during the interval ∆ݐ;
2. (S - 1) species at time t, and one species immigrated;
3. (S + 1) species at time t, and one species emigrated.
To neglect the probability of more than one immigration or emigration, then ∆ݐ has to be set with
small value. As ∆ݐ approaches 0, the ratio ቀ
∆ೞ
∆௧
ቁ approaches ܲሶ௦ሺݐሻ:
5. 125 Computer Science & Information Technology (CS & IT)
ௗೞሺ௧ሻ
ௗ௧
≅ lim∆௧→
ೞ
ௗೞሺ௧ሻ
ௗ௧
≅ െሺߣ௦ ߤ௦
By considering the previous three
ܲ௦
ሶ ሺݐሻ ൌ ቐ
െሺߣ௦ ߤ௦ሻܲ௦ ߤ௦ାଵ
െሺߣ௦ ߤ௦ሻܲ௦ ߣ௦ିଵܲ
െሺߣ௦ ߤ௦ሻܲ௦ ߣ
The value of ܲ௦
ሶ ሺݐሻ can also be determined by using a matrix technique [1].
Thus, using the known values of
approximated as:
ܲ௦ሺݐ
Eq. 10 is the final form that has to be used in the program of BBO for calculating
For finding ܲ௦ሺݐሻ, Dan Simon in [1] used two methods; either by solving
applying the following theorem:
Theorem 1: The steady-state value for the probability of the number of each species is given by:
Where ݒ and ݒare computed as:
ݒ
ݒ ൌ
ܵ௫
ሺܵ௫ 1 െ
3. BIOGEOGRAPHY-BASED
The involvement of the science of biogeography into BBO is that the general problem solution
means the natural distribution of species [1]. Each island represents one solution, where the good
solution in biogeography means that the island has many species, and the density of these species
depends on the availability of good features offered by that island (the good things of bi
"living: trees, shrubs, meadow, diversity of prey, etc
humidity, water, area, etc" factors [19]
solution islands [18]. Each feature
independent variable of such a problem in BBO [30].
Island suitability index (ISI) depends on the availability of
BBO, ISI is the dependent variable [30].
islands or individuals, then it can be expressed as
ܫܵܫ ൌ ݂ሺܸܵܫ
Computer Science & Information Technology (CS & IT)
ೞሺ௧ା∆௧ሻିೞሺ௧ሻ
∆௧
௦ሻܲ௦ሺݐሻ ߣ௦ିଵܲ௦ିଵሺݐሻ ߤ௦ାଵܲ௦ାଵሺݐሻ
previous threeconditions, Eq. 8becomes:
ܲ௦ାଵ, ܵ ൌ 0
ܲ௦ିଵ ߤ௦ାଵܲ௦ାଵ, 1 ܵ ܵ௫ െ 1
ߣ௦ିଵܲ௦ିଵ, ܵ ൌ ܵ௫
can also be determined by using a matrix technique [1].
Thus, using the known values of ܲ௦ሺݐሻ andܲ௦
ሶ ሺݐሻ, the value of ܲ௦ሺݐ ∆ݐሻ given in
ሺ ∆ݐሻ ≅ ܲ௦ሺݐሻ ܲ௦
ሶ ሺݐሻ∆ݐ
Eq. 10 is the final form that has to be used in the program of BBO for calculatingܲ௦ሺݐ
, Dan Simon in [1] used two methods; either by solving Eq. 9 numerically, or by
state value for the probability of the number of each species is given by:
ݒ ൌ ሾݒଵ, ݒଶ, … , ݒௌೌೣାଵሿ்
௫!
െ ݅ሻ! ሺ݅ െ 1ሻ!
ሺ݅ ൌ 1, … , ܵ௫ 1ሻ
ASED OPTIMIZATION (BBO)
The involvement of the science of biogeography into BBO is that the general problem solution
of species [1]. Each island represents one solution, where the good
solution in biogeography means that the island has many species, and the density of these species
depends on the availability of good features offered by that island (the good things of bi
living: trees, shrubs, meadow, diversity of prey, etc" and abiotic "non-living: wind, temperature,
" factors [19] - as described in section II), and vice versa for the poor
feature is called suitability index variable (SIV), and repr
of such a problem in BBO [30].
) depends on the availability of those features on that island
the dependent variable [30]. Thus, for problem with n-independent variables and
s, then it can be expressed as:
ሺܸܵܫଵ, ܸܵܫଶ, … , ܸܵܫሻ ݅ ൌ 1,2, … , ݇
(8)
(9)
given in Eq. 1 can be
(10)
ሺݐ ∆ݐሻ.
q. 9 numerically, or by
state value for the probability of the number of each species is given by:
(11)
(12)
(13)
The involvement of the science of biogeography into BBO is that the general problem solution
of species [1]. Each island represents one solution, where the good
solution in biogeography means that the island has many species, and the density of these species
depends on the availability of good features offered by that island (the good things of biotic
living: wind, temperature,
), and vice versa for the poor
), and represents the
features on that island; and, in
independent variables and k-
(14)
6. Computer Science & Information Technology (CS & IT) 126
The algorithm of BBO consists of two main sub-algorithms, migration and mutation.
The original forms of BBO depend on the type of the migration process, which are partial
migration based (PMB-BBO), single migration based (SMB-BBO), simplified partial migration
based (SPMB-BBO), and simplified single migration based (SSMB-BBO) [1,28].
3.1. Migration
Considering Eq. 14, the high ISI for island irepresents a good solution, and also high ISI means
large number of available species on that island, which forces immigration rate ߣ௦ to be low and
emigration rate ߤ௦ to be high; while low ISI for island i represents a poor solution, which means a
shortage indication in the availability of species on that island, where at this condition ߣ௦ is high
and ߤ௦ is low.
Referring to Fig. 2, S1 is located beforeܵመ, where ߣ௦ is high, ߤ௦ is low and the solution ISI1 is poor;
while S2 is located after ܵ, where ߣ௦ is low, ߤ௦ is high and the solution ISI2 is good. Thus, ߣ௦ and
ߤ௦ are indications of poor and good solutions, respectively.
In migration process, the high ISI islands share their features to modify the low ISI islands, where
the islands of both sides are probabilistically selected. The high ISI islands become the source of
modification, while the low ISI islands become the recipients to those emigrated species.
Although the species will emigrate from the rich islands to the poor islands, this phenomena does
not mean that the species will completely disappear from its home islands. However, only a few
representatives emigrate [1]. Thus, the recipient islands are enhanced, and at the same time the
source islands are kept away from any shortage on its richness of species.
The migration process of the four original forms of BBO can be described as:-
3.1.1. PMB-BBO Model:
Let ISIi denote the ith population member and contains n features
For each island ISIi (where i=1,2,3,…,k)
For each SIV s (where s=1,2,3,…,n)
Use ߣ to probabilistically select the immigrating island ISIi
If rand < ߣ
For j=1 to k
Use ߤ to probabilistically decide whether to emigrate to ISIi
If ISIj is selected
Randomly select an SIV σ from ISIj
Replace a random SIV s in ISIi with SIV σ
end if
end for
end if
next SIV
next island
7. 127 Computer Science & Information Technology (CS & IT)
3.1.2. SMB-BBO Model:
Let ISIi denote the ith population member and contains n features
For each island ISIi (where i=1,2,3,…,k)
Use ߣ to probabilistically select the immigrating island ISIi
If rand < ߣ
Pick a random SIV s (where s=1,2,3,…,n)
For j=1 to k
Use ߤ to probabilistically decide whether to emigrate to ISIi
If ISIj is selected
Randomly select an SIV σ from ISIj
Replace a random SIV s in ISIi with SIV σ
end if
end for
end if
next island
The simplified models (SPMB and SSMB) are similar to the previous normal models (PMB and
SMB), except that the simplified models will always use the best obtained solution as the
emigrating island instead of doing an internal loop checking. It is apparent that the simplified
models have two conflicting issues. They are faster (less CPU time) because the internal looping
is eliminated. However, they could trap in a local minima because they always depend on the best
solution,and consequently the probability of finding other better solutions reduces.
3.1.3. SPMB-BBO Model:
Let ISIi denote the ith population member and contains n features
For each island ISIi (where i=1,2,3,…,k)
For each SIV s (where s=1,2,3,…,n)
Use ߣ to probabilistically select the immigrating island ISIi
If rand < ߣ
Select the best obtained solution as the emigrating island ISIbest
If ISIbest is selected
Randomly select an SIV σ from ISIbest
Replace a random SIV s in ISIi with SIV σ
end if
end if
next SIV
next island
8. Computer Science & Information Technology (CS & IT) 128
3.1.4. SSMB-BBO Model:
Let ISIi denote the ith population member and contains n features
For each island ISIi (where i=1,2,3,…,k)
Use ߣ to probabilistically select the immigrating island ISIi
If rand <ߣ
Pick a random SIV s (where s=1,2,3,…,n)
Select the best obtained solution as the emigrating island ISIbest
If ISIbest is selected
Randomly select an SIV σ from ISIbest
Replace a random SIV s in ISIi with SIV σ
end if
end if
next island
3.2. Mutation
The features available on an island (i.e., n-SIV) can be changed dramatically due to random
events called mutations [31], which forces ܵመ to deviate from its equilibrium value [1].
Most observed mutations are harmful, like predators from other islands, tsunamis, volcanos,
diseases or earthquakes, which are not directed to be useful [17]. On the other hand, there are
some useful events that can enhance those n-SIV to give better solutions, such as wind-carrying
seeds (wind pollination) or flotsams (shipwreck) [18].
In BBO, this mutation process is modeled as SIV mutation, where the mutation rate m can be
determined by involving species count probabilities Ps into the following equation:
݉ ൌ ݉௫ ൬1 െ
ܲ௦
ܲ௫
൰ (15)
Where ܲ௫ ൌ ݉ܽݔሺܲ௦ሻ and ݉௫ is a user-defined maximum mutation rate that m can reach.
From Eq. 15, m reaches to its minimum "zero" at the maximum value of Ps, and vice versa. Thus,
m is inversely proportional to Ps.
The objective of using mutation rate is to set the low and high ISI solutions likely to mutate,
which gives them an ability to enhance their results more than what they already have, where the
solutions at the equilibrium point are not mutated [1].
9. 129 Computer Science & Information Technology (CS & IT)
The mutation process can be described as:
For ݅ ൌ 1 to k (where k is the number of islands, see Eq. 14)
Calculate probability Ps based on ߣ௦and ߤ௦ (by numerical or direct method)
Calculate mutation rate m (using Eq. 15)
Select ISIi with probability proportional to Ps
If ISIiis selected
Replace SIV of ISIi with a randomly generated SIV
end if
end for
3.3. BBO Algorithm
The steps of the general BBO algorithm can be listed as:
1. Initialize the BBO parameters (Smax, I, E, mmax, etc).
2. Find species count probabilities Ps and mutation rate m based on the calculated
immigration rate ߣ௦ and emigration rate ߤ௦ by Eqs. 5 and 6.
3. Generate k random islands, where each island represents one solution to a given problem
with n-SIV.
4. Sort the solutions k-ISI for all islands, so the first best solution should be mapped with the
highest number of species and the highest emigration rate ߤ௦ (or the lowest immigration
rate ߣ௦), and continue the descending order till reaching to the worst solution.
5. Do elitism process for saving the required best solutions for the next generation; it is an
optional step [30].
6. Probabilistically select the source islands based on ߤ௦, and the islands which need to be
modified "the recipient islands" based on ߣ௦, and do the migration process. Then, update all
k-ISI before ending this step.
7. Do mutation process for the islands based on their probabilities that are listed in the
probability vector after calculated in step (2). Then, update all k-ISI once the mutation
process is completed.
8. Return to step (4) for the next iteration. This loop can be terminated either if reaching to an
acceptable tolerance or after completing the desired number of generations.
4. PERFORMANCE COMPARISON
The main problem associated with all the modified BBOs is that the modifications were done on
an arbitrary selected form of the four original forms. There is no clarification on which form the
proposed modification stands on and why.
The four original forms of BBO have been tested through 23 benchmark functions with different
dimensions and complexities.
These functions can be classified into three groups: unimodal, multimodal with few local minima
and multimodal with many local minima. Functions f01-f13 are high-dimensional problems.
10. Computer Science & Information Technology (CS & IT) 130
Functions f01-05 and f07 are high-dimensional and unimodal, f06 is a high-dimensional step
function with one discontinuous minimum. Functions f08-13 are high-dimensional and
multimodal with many local minima, and the remaining functions are low-dimensional and
multimodal with few local minima [33]. The details of these benchmark functions can be found in
the Appendix.
The parameters that have been used here are similar to those used in [25,29]: population size of
50, I=E=1, mmax=0.01, generation limit of 20,000 for f01-13 and 1000 for f14-23, elitism
parameter of 1, and Monte-Carlo simulation with 30 trails.
Table 1 summarizes the performance of PMB, SMB, SPMB and SSMB models for 23 benchmark
functions. The highlighted cells in the tables represents the best result among the four BBO
algorithms. It can be clearly seen that the performance of PMB and SPMB are superior as
compared to SMB and SSMB. For high-dimensional problems, PMB wins with 7 best solutions,
10 mean and 8 standard deviation out of 13; while SPMB wins with 6 best solutions, 3 mean and
5 standard deviation. On the other hand, for low-dimensional problems, SSMB enters this
competition, and gives better Best, Mean and Standard deviation than that of the PMB for the
functions f16, f17,f18, but it does not win as compared to SPMB. Single and simplified single
migration based models are not valid for f21-23, because these problems are 1-dimensional
problems, and the migration process is done within only one independent variable.
Although, in overall, SSMB has respectively the first and second worst performance for high and
low-dimensional problems, it achieved the fastest algorithm as shown in Table 2. This is logical,
because of two reasons. First, it does a migration on one randomly selected SIV for each island
rather than all n-SIV as in PMB and SPMB. Second, it will always select the best found solution
as a source island for migration instead of doing a loop checking as in SMB. This is why the
simplified versions of PMB and SMB trip in local minima particularly as the complexity, side
constraints and/or dimensions increases and as the number of islands or population size decreases.
In this situation, PMB has the best exploration and exploitation.
Table 1: Comparison of the results for 30 trails of the original four BBO models, where Best, Mean, and
StdDev stands for the smallest error, the mean of all errors, and the standard deviation, respectively.
Best Mean StdDev Best Mean StdDev Best Mean StdDev Best Mean StdDev
f01 30 1.8518E+00 3.8843E+00 1.3964E+00 1.6999E+02 3.1652E+02 9.9742E+01 2.2588E+00 4.3027E+00 1.3073E+00 8.1588E+01 3.5592E+02 1.5209E+02
f02 30 4.0024E-01 7.0184E-01 1.3458E-01 3.8978E+00 6.1515E+00 1.3348E+00 5.1678E-01 7.6268E-01 1.0545E-01 5.4535E+00 7.3952E+00 1.1782E+00
f03 30 4.2433E+02 1.9527E+04 1.1268E+04 3.3679E+03 3.0638E+04 1.3227E+04 1.9048E+03 3.2307E+04 8.3231E+03 4.4645E+02 2.7268E+04 1.4724E+04
f04 30 3.2007E+00 6.2387E+00 1.1469E+00 2.3978E+01 3.4745E+01 6.0946E+00 2.8725E+00 5.6856E+00 1.2431E+00 2.8262E+01 3.8791E+01 4.1634E+00
f05 30 1.0517E+02 2.6058E+02 7.9555E+01 5.0807E+03 2.3564E+04 1.6310E+04 1.3597E+02 2.7246E+02 1.1116E+02 7.4418E+03 3.9130E+04 3.2640E+04
f06 30 2.0000E+00 4.7333E+00 1.8245E+00 1.7400E+02 3.9163E+02 2.0465E+02 1.0000E+00 4.7667E+00 2.4315E+00 1.3900E+02 4.5263E+02 2.8296E+02
f07 30 2.8562E-07 1.2406E-06 1.2872E-06 7.6867E-04 1.2135E-02 1.4628E-02 1.9837E-07 1.3833E-06 1.1343E-06 1.0547E-03 1.3451E-02 1.4276E-02
f08 30 4.4291E-06 1.3876E-05 5.7466E-06 3.5004E-04 1.6463E-03 1.2669E-03 5.0828E-06 1.3322E-05 7.4610E-06 5.9656E-04 1.8382E-03 1.0377E-03
f09 30 9.4594E-01 1.9351E+00 6.4580E-01 2.3807E+01 3.3102E+01 5.6152E+00 1.0236E+00 1.9211E+00 5.7860E-01 2.6082E+01 3.4796E+01 6.4496E+00
f10 30 6.3026E-01 9.9236E-01 2.3065E-01 4.3719E+00 5.7651E+00 6.6010E-01 4.9817E-01 1.0345E+00 2.5990E-01 4.6872E+00 5.9257E+00 6.9267E-01
f11 30 8.6708E-01 1.0263E+00 3.4402E-02 2.1095E+00 4.4318E+00 1.3255E+00 9.4245E-01 1.0357E+00 2.7730E-02 2.1708E+00 5.0205E+00 1.9755E+00
f12 30 5.0934E-03 2.9591E-02 3.2559E-02 1.0493E+00 3.5616E+00 3.8957E+00 3.8794E-03 3.1228E-02 3.5340E-02 1.4325E+00 6.3746E+01 3.2648E+02
f13 30 9.3001E-02 1.6875E-01 6.0757E-02 5.3779E+00 3.1883E+03 1.3051E+04 8.1548E-02 2.0015E-01 8.0590E-02 6.9544E+00 2.3081E+03 8.1029E+03
f14 2 2.1720E-11 8.0558E-08 2.1865E-07 6.4942E-10 1.4595E-04 5.4076E-04 6.1392E-12 3.8090E-10 3.2748E-10 8.4939E-11 1.0718E-07 5.3020E-07
f15 4 3.9927E-04 8.0573E-04 3.2529E-04 5.6999E-04 1.3729E-03 4.5011E-04 1.8923E-04 7.0160E-04 3.1929E-04 4.5865E-04 1.3658E-03 5.8181E-04
f16 2 2.3455E-07 9.1217E-05 1.2481E-04 1.6640E-05 4.1018E-04 4.3907E-04 3.5869E-10 4.8485E-06 4.7243E-06 5.7770E-08 2.7089E-05 3.9141E-05
f17 2 5.6480E-07 9.6466E-05 1.6743E-04 3.6639E-06 3.4432E-04 3.9477E-04 1.2486E-07 1.9438E-05 2.7087E-05 4.4129E-07 7.3364E-05 9.1485E-05
f18 2 2.7778E-05 1.5749E-03 1.6278E-03 6.0816E-05 5.8628E-03 6.6169E-03 1.2784E-07 8.1736E-05 8.7004E-05 9.2851E-06 2.9315E-04 3.7882E-04
f19 3 7.6177E-06 5.0374E-04 3.8211E-04 2.5507E-04 1.6343E-03 1.2888E-03 5.9005E-07 5.0688E-05 5.9545E-05 1.6327E-06 5.2029E-04 4.9816E-04
f20 6 1.8781E-03 6.9158E-02 6.0706E-02 3.6659E-02 1.6534E-01 7.1746E-02 3.3727E-03 7.9192E-02 5.6884E-02 2.1696E-02 1.5974E-01 6.5199E-02
f21 1 9.8030E-08 2.8723E-05 4.2939E-05 3.8113E-09 3.3121E-05 6.0656E-05
f22 1 8.1958E-10 2.1546E-05 5.2185E-05 2.2393E-08 3.4060E-05 4.6055E-05
f23 1 1.7454E-08 7.4624E-05 1.8726E-04 1.0113E-07 3.7714E-05 5.3672E-05
For 1-dimensional problems, SMB-BBO
is not applicable;
(SMB=PMB)
For 1-dimensional problems, SSMB-BBO
is not applicable;
(SSMB=SPMB)
f # n
Biogeography Based Optimization (BBO)
Partial Migration Based Single Migration Based Simplified Partial Migration Based Simplified Single Migration Based
11. 131 Computer Science & Information Technology (CS & IT)
Table 2.Normalized CPU time for the high-dimensional problems f01-f13
To verify this conclusion, three performance tests have been conducted as shown in Tables 3, 4
and 5. Each one of these three tests is focused on one criteria.
Test I is shown in Table 3, and it is used to study the performance of PMB and SPMB algorithms
as the problem’s dimension decreases. The parameters used for this test are similar to that used in
Table 1, except that the generation limit are set as: 1000 for n=2,4,6 ; 5000 for n=10 ; 10,000 for
n=20 and 20,000 for n=30.
Table 3. Performance Test I – f05 with different dimensions
Whereas, Test II shown in Table 4 is used to study the performance of PMB and SPMB
algorithms as the number of islands or population size increases for two of low-dimensional
problems.
Finally, Test III shown in Table 5 is used to study the performance of PMB and SPMB algorithms
under different upper and lower values of the variable bounds (also known as domain, search
space, side constraints, etc).
As can be seen from Table 3, the SPMB perform better as the problem dimension decreases. But
when the population size is not large, the PMB will performer better even for the low-
PMB-BBO SMB-BBO SPMB-BBO SSMB-BBO
f01 1.4804E+00 1.0084E+00 1.3181E+00 1.0000E+00
f02 1.4687E+00 1.0086E+00 1.3103E+00 1.0000E+00
f03 1.1672E+00 1.0082E+00 1.1104E+00 1.0000E+00
f04 1.5018E+00 1.0086E+00 1.3355E+00 1.0000E+00
f05 1.4717E+00 1.0074E+00 1.3133E+00 1.0000E+00
f06 1.4721E+00 1.0079E+00 1.3113E+00 1.0000E+00
f07 1.4089E+00 1.0070E+00 1.2769E+00 1.0000E+00
f08 1.4521E+00 1.0074E+00 1.2969E+00 1.0000E+00
f09 1.4621E+00 1.0068E+00 1.3041E+00 1.0000E+00
f10 1.4299E+00 1.0052E+00 1.2815E+00 1.0000E+00
f11 1.4256E+00 1.0070E+00 1.2876E+00 1.0000E+00
f12 1.3703E+00 1.0056E+00 1.2437E+00 1.0000E+00
f13 1.3878E+00 1.0021E+00 1.2505E+00 1.0000E+00
Avg CPU Time 1.4230E+00 1.0070E+00 1.2800E+00 1.0000E+00
f #
BBO Models
Best Mean StdDev Best Mean StdDev
f05a 2 5.0569E-06 3.0404E-04 2.9421E-04 1.1454E-06 4.3368E-04 7.0482E-04
f05b 4 2.6016E+00 1.3546E+02 1.0058E+02 3.8176E-01 3.0585E+01 3.2854E+01
f05c 6 4.5589E+01 8.1933E+02 7.3780E+02 4.0158E+01 8.3004E+02 7.5869E+02
f05d 10 2.8495E+01 2.1690E+02 1.8675E+02 7.1550E+01 2.4654E+02 1.7535E+02
f05e 20 8.7400E+01 3.3766E+02 2.4278E+02 1.3913E+02 3.5894E+02 4.0126E+02
f05f 30 1.0517E+02 2.6058E+02 7.9555E+01 1.3597E+02 2.7246E+02 1.1116E+02
Generalized
Rosenbrock's
Function
f # Name Dimensions
Biogeography Based Optimization (BBO)
Partial Migration Based Simplified Partial Migration Based
12. Computer Science & Information Technology (CS & IT)
dimensional problems, as shown in Table 4. From Table 5, if the problem search space is large,
the PMB wins too.
Table 4. Performance Test II
Table 5. Performance Test III
Fig. 3 shows the curves of fitness
problem 1.2 “f03”, Generalized Rosenbrock’s function
(a)
(c)
Figure 3. Curves of fitness functions
f15a 5
f15b 10
f15c 50
f15d 200
f16a 5
f16b 10
f16c 50
f16d 200
Kowalik's
Function
Six-Hump Camel-
Back Function
f # Name
Population
Size
f11a Xi Є [-60,60
f11b Xi Є [-600,600]
f11c Xi Є [-6000,6000]
Generalized
Griewank's
Function
f # Name
Side
Constraints
Computer Science & Information Technology (CS & IT)
dimensional problems, as shown in Table 4. From Table 5, if the problem search space is large,
Performance Test II – f15 and f16 with different populations
Performance Test III – f11 with different side constraints
of fitness functions of PMB, SMB, SPMB, and SSMB for the
Generalized Rosenbrock’s function “f05”, Generalized Rastrigin’s function
(b)
(d)
functions of PMB, SMB, SPMB, and SSMB for some selected functions
(b) f05, (c) f09, (d) f11
Best Mean StdDev Best Mean
3.0566E-04 1.1017E-03 5.6436E-04 4.2186E-04 1.4561E-03
5.1379E-04 1.2970E-03 7.7744E-04 2.1192E-04 1.0605E-03
3.9927E-04 8.0573E-04 3.2529E-04 1.8923E-04 7.0160E-04
1.9935E-04 6.2320E-04 2.2726E-04 1.4958E-04 4.4200E-04
1.0557E-05 6.5798E-04 7.0515E-04 1.1389E-05 8.7138E-04
1.1365E-07 2.9963E-04 4.1067E-04 2.4790E-06 1.8534E-04
2.3455E-07 9.1217E-05 1.2481E-04 5.7770E-08 2.7089E-05
1.7238E-07 2.2757E-05 2.7229E-05 5.7634E-09 5.9924E-07
Population
Size
Biogeography Based Optimization (BBO)
Partial Migration Based Simplified Partial Migration Based
Best Mean StdDev Best Mean
60,60] 8.6106E-02 2.3591E-01 8.7067E-02 5.3899E-02 2.1482E-01
Xi Є [-600,600] 8.7314E-01 1.2508E+00 2.3871E-01 9.6562E-01 1.3044E+00
Xi Є [-6000,6000] 4.9293E+00 3.2079E+01 2.4023E+01 6.0255E+00 3.7802E+01
Side
Constraints
Biogeography Based Optimization (BBO)
Partial Migration Based Simplified Partial Migration Based
132
dimensional problems, as shown in Table 4. From Table 5, if the problem search space is large,
for theSchwefel’s
, Generalized Rastrigin’s function
of PMB, SMB, SPMB, and SSMB for some selected functions.(a) f03,
Mean StdDev
1.4561E-03 7.5693E-04
1.0605E-03 7.2553E-04
7.0160E-04 3.1929E-04
4.4200E-04 1.7749E-04
8.7138E-04 8.0479E-04
1.8534E-04 2.8880E-04
2.7089E-05 3.9141E-05
5.9924E-07 7.5759E-07
Biogeography Based Optimization (BBO)
Simplified Partial Migration Based
Mean StdDev
2.1482E-01 7.9380E-02
1.3044E+00 2.2903E-01
3.7802E+01 2.7235E+01
Biogeography Based Optimization (BBO)
Simplified Partial Migration Based
13. 133 Computer Science & Information Technology (CS & IT)
“f09” and Generalized Griewank’s function “f11”. For functions f05, f09 and f11, it can be
clearly seen that the PMB and SPMB algorithms outperform the SMB and SSMB algorithms, and
the gap between the convergences is large. For the function f03, SSMB enters this competition
and shows better fitness as compared to SPMB. However, the PMB algorithm is again has the
best convergence.
5. CONCLUSIONS AND SUGGESTIONS
The performance of the four original forms of BBO algorithms (PMB, SMB, SPMB and SSMB)
have been extensively tested and compared using 23 benchmark functions of different dimensions
and complexities, as well as different scenarios have been done for some selected functions. The
results show that the PMB, which is the first presented model in 2008, gives the best performance
as the complexity, side constraints and/or dimensions of a given problem increases and as the
number of islands or population size decreases. However, the PMB is found to be the slowest
algorithm which requires around 42.30% more CPU time than that of the SSMB as shown in
Table 2. To compromise between the cost and convergence speed under the above scenarios,
SPMB is found to be the best choice as it requires around 28.00% more CPU time, but its
exploration and exploitation will decrease significantly. The performance of the SMB algorithm
found to be the worst as compared to the others.
The results obtained in this paper can be used as a foundation and a first step for enhancing any
prospective modification on the BBO algorithm including the existing modifications that are
described in literature.
APPENDIX
This appendix includes a complete list that have been used in this paper. The details of these
benchmark functions can be found in [32]. The global minimums of the functions (f08,
f14, f15, f16, f17, f19, f20, and f21-f23) are rounded in [32]. In this paper, the correct
values are taken instead from [34,35,36,37,38], respectively.
f01: Sphere Model
݂ሺݔሻ ൌ ݔ
ଶ
ୀଵ
• െ100 ≤ ݔ ≤ 100, ݅ = 1,2, … , ݊
• ݂ሺܺ∗ሻ = 0, ݔ
∗
= 0
f02: Schwefel’s Problem 2.22
݂ሺݔሻ = |ݔ|
ୀଵ
+ ෑ|ݔ|
ୀଵ
• −10 ≤ ݔ ≤ 10, ݅ = 1,2, … , ݊
• ݂ሺܺ∗ሻ = 0, ݔ
∗
= 0
18. Computer Science & Information Technology (CS & IT) 138
f21,22,23: Shekel's Family
݂ሺݔሻ = − ሾሺݔ − ܽሻሺݔ − ܽሻ்
+ ܿሿ
ୀଵ
• n= 5, 7 and 10 for f21, f22 and f23, respectively
• 0 ≤ ݔ ≤ 10, ݅ = 1,2, … , ݊
• f21:݂ሺݔ∗ሻ = −10.153198755084881776356839400251,
ݔ∗
= 4.000085212027619539925233402760
• f22:݂ሺݔ∗ሻ = −10.402822044707775329070518200751,
ݔ∗
= 4.000089532152739968028886505640
• f23:݂ሺݔ∗ሻ = −10.536290299294717105427357601002,
ݔ∗
= 4.0001281610100453290705182007510
Table 9: Data for Shekel Functions f21,f22,f23
݅ ܽ, ݆ = 1,2,3,4 ܿ
1 4 4 4 4 0.1
2 1 1 1 1 0.2
3 8 8 8 8 0.2
4 6 6 6 6 0.4
5 3 7 3 7 0.4
6 2 9 2 9 0.6
7 5 5 3 3 0.3
8 8 1 8 1 0.7
9 6 2 6 2 0.5
10 7 3.6 7 3.6 0.5
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Authors
Ali Ridha Alroomi received the B.Sc. degree in Process Instrumentation and Control
Engineering from University of Bahrain, Bahrain, in 2006. In the period between 2009-
2013, he covered the electrical courses of the B.Sc. program in Electrical Engineering, and
followed by M.Sc. degree from the same university. After B.Sc. graduation, he was
selected to be as a project engineer in Moore Control & Engineering till the mid of 2007,
when he joined Yokogawa Middle East as a DCS subsystem and graphics engineer. From
2008 to 2012, he worked in Aluminum Bahrainas an instrumentation and control engineer
in its power plants, generation and auxiliary C&I maintenance. He is currently working as a researcher in
the field of electrical power systems and evolutionary computation.
Fadhel Abbas Al-Basri received the B.Sc. and M.Sc. degrees in Electrical
Engineeringfrom University ofBahrain, Bahrain, and Ph.D. degree in the same field from
University of Western Ontario, Canada,in 1992, 1997 and 2007, respectively. He worked
in Ministry of Electricity and Water, Bahrain, as an electrical engineer from 1993 to 1994.
In 1994, he joined the University ofBahrain as teaching and research assistant and
currently an assistant professor in the department of electrical engineering. His research
interest is power systems protection, power systems analysis andFACTS-devices.
Jawad Hasan Talaq received B.Sc. degree from University of Technology, Baghdad,
Iraq (1981), M.Sc. degree from University of Strathclyde, Glasgow, UK (1987), and
Ph.D. degree from Technical University of Nova Scotia, Halifax, Canada (1993); all in
electrical engineering. He worked in Ministry of Electricity and Water, Bahrain, as a
graduate engineer in Riffa power plant from 1981 to 1985, and as a shift charge engineer
from 1985 to 1989, till moving from the industrial field to the academic field. He is now
an associate professor in the department of electrical engineering, University of Bahrain.
His teaching covers power systems operation and control, power systems dynamics, and advanced power
systems analysis; where his research topics include power systems operation, control and dynamics, and
applied soft computing.