This document presents a solution algorithm for solving a multiobjective cutting stock problem in the aluminum industry where scrap is considered a fuzzy parameter. The problem involves casting molten aluminum into rods and cutting them into logs to meet customer demands while minimizing costs from inventory and scrap. The algorithm formulates the problem using fuzzy set concepts and models scrap as a fuzzy number. It then finds α-Pareto optimal solutions for different α-levels using a weighted objective function and nonlinear programming solved with branch-and-bound methods. An example demonstrates implementing the method.
Applications Of One Type Of Euler-Lagrange Fractional Differential EquationIRJET Journal
This document presents applications of one type of Euler-Lagrange fractional differential equation involving the composition of left Riemann-Liouville and right Caputo fractional derivatives of order α, where 0 < α < 1. First, some examples of ordinary harmonic oscillators described by second-order differential equations are transformed into this fractional differential equation form. Next, the expanded form of the fractional differential equation is obtained using finite differences and the definitions of the fractional derivatives. This is also expressed in matrix notation. Finally, the document describes using Matlab script to numerically solve this type of equation and graphically represent the approximate solutions for various values of α.
Fuzzy Inventory Model of Deteriorating Items under Power Dependent Demand and...orajjournal
The present paper deals with the development of a fuzzy inventory model of deteriorating items
under power demand rate and inventory level dependent holding cost function. The deterioration
rate, demand rate, holding cost and unit cost are considered as trapezoidal fuzzy numbers. Both
the crisp model and fuzzy model are developed in this paper. The graded mean integration
method(GM) and signed distance method(SD) are used to defuzzify the total cost of the present
model. Both the models are illustrated by suitable numerical examples and a sensitivity analysis
for the optimal solution towards changes in the system parameters are discussed. Lastly a
graphical presentation is furnished to compare the total costs under the above two mentioned
methods in the fuzzy model.
IRJET- Optimization of 1-Bit ALU using Ternary LogicIRJET Journal
This document summarizes a research paper that proposes a novel approach to implementing a 1-bit arithmetic logic unit (ALU) using ternary logic. Ternary logic offers potential advantages over binary logic, including reduced transistor count and hardware. The authors designed a 1-bit ALU using ternary logic gates (T-gates) for ternary arithmetic and logic operations. Simulation results showed the ternary logic ALU design achieved a 25% reduction in transistor usage compared to an equivalent binary logic ALU design. The ternary logic ALU design approach could potentially be extended to multi-bit ALUs for applications where reduced transistor count is important.
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...ijistjournal
Synthetic Aperture Radar (SAR) images are inherently affected by multiplicative speckle noise, due to the coherent nature of scattering phenomena. In this paper, a novel algorithm capable of suppressing speckle noise using Particle Swarm Optimization (PSO) technique is presented. The algorithm initially identifies homogenous region from the corrupted image and uses PSO to optimize the Thresholding of curvelet coefficients to recover the original image. Average Power Spectrum Value (APSV) has been used as objective function of PSO. The Proposed algorithm removes Speckle noise effectively and the performance of the algorithm is tested and compared with Mean filter, Median filter, Lee filter, Statistic Lee filter, Kuan filter, frost filter and gamma filter., outperforming conventional filtering methods.
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...ijistjournal
The document describes a novel algorithm for despeckling synthetic aperture radar (SAR) images using particle swarm optimization (PSO) in the curvelet domain. The algorithm first identifies homogeneous regions in the speckled image using variance calculations. It then uses PSO to optimize the thresholding of curvelet coefficients, with the objective of minimizing the average power spectral value. This provides an optimized threshold to apply curvelet-based despeckling. The proposed method is tested on standard images and shown to outperform conventional filters like median and Lee filters in reducing speckle noise.
A Phase Plane Analysis of Discrete Breathers in Carbon NanotubeIRJET Journal
This document presents a phase plane analysis of discrete breathers in carbon nanotubes. The analysis uses a Brenner potential-based Hamiltonian and dispersion relation to model the nonlinear dynamics. Equations of motion in cylindrical coordinates predict the existence of spatially localized discrete breather modes, including longitudinal, radial, and twisting breathers. Numerical solutions of the equations show breathers exist below the lower frequency limit of the longitudinal phonon band, with twisting breathers found to be nonradiating nonlinear modes. Phase plane analysis of the autonomous equations supports the existence of three types of discrete breathers in carbon nanotubes.
IRJET- Comparative Study of Sidelobe Roll-Off Ratio for Various Window Functi...IRJET Journal
This document compares the sidelobe roll-off ratio of the Kaiser, Cosh, and Exponential window functions. It shows through simulation results that the Exponential window provides the highest sidelobe roll-off ratio compared to the other windows. A low pass FIR filter is designed using each window function, and the filter designed with the Exponential window achieves the maximum far-end stopband attenuation.
Cauchy’s Inequality based study of the Differential Equations and the Simple ...IRJET Journal
1. The paper studies the multivariate generalization of Cauchy's inequality 1 + x ≤ ex, where x is a non-negative real number. This generalization can help solve certain ordinary differential equations (ODEs) and population dynamics problems.
2. The paper proves the multivariate generalization of the inequality and shows it only holds when the values are all equal to 0. It also analyzes some qualitative properties of solutions to ODE Cauchy problems using this generalization.
3. Different approaches are taken to directly prove the multivariate inequality using notions of monotone functions, Beppo Levi theorem, and divided differences mean value theorem. Allowed repetitions in the variables are also considered.
Applications Of One Type Of Euler-Lagrange Fractional Differential EquationIRJET Journal
This document presents applications of one type of Euler-Lagrange fractional differential equation involving the composition of left Riemann-Liouville and right Caputo fractional derivatives of order α, where 0 < α < 1. First, some examples of ordinary harmonic oscillators described by second-order differential equations are transformed into this fractional differential equation form. Next, the expanded form of the fractional differential equation is obtained using finite differences and the definitions of the fractional derivatives. This is also expressed in matrix notation. Finally, the document describes using Matlab script to numerically solve this type of equation and graphically represent the approximate solutions for various values of α.
Fuzzy Inventory Model of Deteriorating Items under Power Dependent Demand and...orajjournal
The present paper deals with the development of a fuzzy inventory model of deteriorating items
under power demand rate and inventory level dependent holding cost function. The deterioration
rate, demand rate, holding cost and unit cost are considered as trapezoidal fuzzy numbers. Both
the crisp model and fuzzy model are developed in this paper. The graded mean integration
method(GM) and signed distance method(SD) are used to defuzzify the total cost of the present
model. Both the models are illustrated by suitable numerical examples and a sensitivity analysis
for the optimal solution towards changes in the system parameters are discussed. Lastly a
graphical presentation is furnished to compare the total costs under the above two mentioned
methods in the fuzzy model.
IRJET- Optimization of 1-Bit ALU using Ternary LogicIRJET Journal
This document summarizes a research paper that proposes a novel approach to implementing a 1-bit arithmetic logic unit (ALU) using ternary logic. Ternary logic offers potential advantages over binary logic, including reduced transistor count and hardware. The authors designed a 1-bit ALU using ternary logic gates (T-gates) for ternary arithmetic and logic operations. Simulation results showed the ternary logic ALU design achieved a 25% reduction in transistor usage compared to an equivalent binary logic ALU design. The ternary logic ALU design approach could potentially be extended to multi-bit ALUs for applications where reduced transistor count is important.
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...ijistjournal
Synthetic Aperture Radar (SAR) images are inherently affected by multiplicative speckle noise, due to the coherent nature of scattering phenomena. In this paper, a novel algorithm capable of suppressing speckle noise using Particle Swarm Optimization (PSO) technique is presented. The algorithm initially identifies homogenous region from the corrupted image and uses PSO to optimize the Thresholding of curvelet coefficients to recover the original image. Average Power Spectrum Value (APSV) has been used as objective function of PSO. The Proposed algorithm removes Speckle noise effectively and the performance of the algorithm is tested and compared with Mean filter, Median filter, Lee filter, Statistic Lee filter, Kuan filter, frost filter and gamma filter., outperforming conventional filtering methods.
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...ijistjournal
The document describes a novel algorithm for despeckling synthetic aperture radar (SAR) images using particle swarm optimization (PSO) in the curvelet domain. The algorithm first identifies homogeneous regions in the speckled image using variance calculations. It then uses PSO to optimize the thresholding of curvelet coefficients, with the objective of minimizing the average power spectral value. This provides an optimized threshold to apply curvelet-based despeckling. The proposed method is tested on standard images and shown to outperform conventional filters like median and Lee filters in reducing speckle noise.
A Phase Plane Analysis of Discrete Breathers in Carbon NanotubeIRJET Journal
This document presents a phase plane analysis of discrete breathers in carbon nanotubes. The analysis uses a Brenner potential-based Hamiltonian and dispersion relation to model the nonlinear dynamics. Equations of motion in cylindrical coordinates predict the existence of spatially localized discrete breather modes, including longitudinal, radial, and twisting breathers. Numerical solutions of the equations show breathers exist below the lower frequency limit of the longitudinal phonon band, with twisting breathers found to be nonradiating nonlinear modes. Phase plane analysis of the autonomous equations supports the existence of three types of discrete breathers in carbon nanotubes.
IRJET- Comparative Study of Sidelobe Roll-Off Ratio for Various Window Functi...IRJET Journal
This document compares the sidelobe roll-off ratio of the Kaiser, Cosh, and Exponential window functions. It shows through simulation results that the Exponential window provides the highest sidelobe roll-off ratio compared to the other windows. A low pass FIR filter is designed using each window function, and the filter designed with the Exponential window achieves the maximum far-end stopband attenuation.
Cauchy’s Inequality based study of the Differential Equations and the Simple ...IRJET Journal
1. The paper studies the multivariate generalization of Cauchy's inequality 1 + x ≤ ex, where x is a non-negative real number. This generalization can help solve certain ordinary differential equations (ODEs) and population dynamics problems.
2. The paper proves the multivariate generalization of the inequality and shows it only holds when the values are all equal to 0. It also analyzes some qualitative properties of solutions to ODE Cauchy problems using this generalization.
3. Different approaches are taken to directly prove the multivariate inequality using notions of monotone functions, Beppo Levi theorem, and divided differences mean value theorem. Allowed repetitions in the variables are also considered.
A hybrid bacterial foraging and modified particle swarm optimization for mode...IJECEIAES
This paper study the model reduction procedures used for the reduction of large-scale dynamic models into a smaller one through some sort of differential and algebraic equations. A confirmed relevance between these two models exists, and it shows same characteristics under study. These reduction procedures are generally utilized for mitigating computational complexity, facilitating system analysis, and thence reducing time and costs. This paper comes out with a study showing the impact of the consolidation between the Bacterial-Foraging (BF) and Modified particle swarm optimization (MPSO) for the reduced order model (ROM). The proposed hybrid algorithm (BF-MPSO) is comprehensively compared with the BF and MPSO algorithms; a comparison is also made with selected existing techniques.
This document discusses two issues in linear regression modeling: suppression and enhancement. Suppression occurs when the sign of a standardized regression coefficient is opposite to the zero-order correlation between the predictor and dependent variable. This can happen when another predictor accounts for variability in the first predictor. Enhancement occurs when the R-squared value from a multiple regression model is higher than the sum of the individual zero-order correlations, indicating correlated predictors provide additional explanatory power together than alone. An example from a 1941 study by Horst is provided to illustrate suppression.
Application Of Local Search Methods For Solving A Quadratic Assignment Probl...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/application-of-local-search-methods-for-solving-a-quadratic-assignment-problem-a-case-study/
This paper discusses the design and application of local search methods to a real-life application at a steel cord manufacturing plant. The case study involves a layout problem that can be represented as a Quadratic Assignment Problem (QAP). Due to the nature of the manufacturing process, certain machinery need to be allocated in close proximity to each other. This issue is incorporated into the objective function through assigning high penalty costs to the unfavorable allocations. QAP belongs to one of the most difficult class of combinatorial optimization problems, and is not solvable to optimality as the number of facilities increases. We implement the well-known local search methods, 2-opt, 3-opt and tabu search. We compare the solution performances of the methods to the results obtained from the NEOS server, which provides free access to many optimization solvers on the internet.
Lossless image compression using new biorthogonal waveletssipij
Even though a large number of wavelets exist, one needs new wavelets for their specific applications. One
of the basic wavelet categories is orthogonal wavelets. But it was hard to find orthogonal and symmetric
wavelets. Symmetricity is required for perfect reconstruction. Hence, a need for orthogonal and symmetric
arises. The solution was in the form of biorthogonal wavelets which preserves perfect reconstruction
condition. Though a number of biorthogonal wavelets are proposed in the literature, in this paper four new
biorthogonal wavelets are proposed which gives better compression performance. The new wavelets are
compared with traditional wavelets by using the design metrics Peak Signal to Noise Ratio (PSNR) and
Compression Ratio (CR). Set Partitioning in Hierarchical Trees (SPIHT) coding algorithm was utilized to
incorporate compression of images.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
techDynamic characteristics and stability of cylindrical textured journal bea...ijmech
This document summarizes a study on the dynamic characteristics and stability of cylindrical textured journal bearings. The researchers numerically solved the Reynolds equation to analyze the effect of texture depth and density on the stiffness, damping coefficients, stability parameter, and whirl ratio of the bearing. They found that stability is enhanced with increasing texture depth, while there is an optimum texture density that results in maximum stability. Direct and cross stiffness/damping coefficients, stability margin, and whirl ratio were presented for different texture parameters.
One dimensional cutting stock problem 1-d-csp_ a study on data dependent triIAEME Publication
This document discusses a mathematical model for minimizing trim loss in the one-dimensional cutting stock problem (1D-CSP). The model considers order lengths that need to be cut from stock lengths of raw materials. It defines the concepts of first-order and second-order sustainable trims, which represent thresholds for the maximum allowable trim at each cutting stage. Linear approximations are constructed to predict the total trim loss for any set of input data, based on computing trim losses corresponding to the sustainable trim thresholds. The model aims to provide a practical solution for industries like manufacturing transmission towers that deal with 1D-CSP.
This document discusses issues related to linear regression analysis, including suppression and enhancement effects. It begins with an introduction and provides graphical representations of correlations between variables. The document then discusses how adding an uncorrelated predictor variable can increase the significance of other predictors, and how correlated predictors can enhance the overall model fit. It provides examples and equations to explain these "befuddling issues" in more detail.
A modeling approach for integrating durability engineering and robustness in ...Phuong Dx
This document presents mathematical models to integrate robustness, durability, and tolerances into the design of mechanical products like springs. The models optimize design parameters like wire diameter and coil diameter to minimize mass and stress while ensuring the spring provides the required deflection over its lifetime considering degradation. Three solutions are provided that incorporate different aspects: 1) ensures high reliability, 2) minimizes loss and quality, and 3) accounts for degradation over the spring's lifetime to better meet customer expectations. The models act as a decision support system for designers to evaluate tradeoffs between robustness, durability and manufacturing tolerances early in the design process.
Some Engg. Applications of Matrices and Partial DerivativesSanjaySingh011996
This document contains a submission by three students to Dr. Sona Raj Mam regarding partial differentiation, matrices and determinants, and eigenvectors and eigenvalues. It provides examples of how these mathematical concepts are applied in fields like engineering. Partial differentiation is used in economics to analyze demand and in image processing for edge detection. Matrices and determinants allow representing linear transformations in graphics software. Eigenvalues and eigenvectors have applications in areas like computer science, smartphone apps, and modeling structures in civil engineering. The document also provides real-world examples and references textbooks and websites for further information.
Design and implementation of different audio restoration techniques for audio...eSAT Journals
This document summarizes research on designing and implementing different audio restoration techniques for removing distortions like clipping, clicks, and broadband noise from audio signals. It presents methods for declipping audio using sparse representations and frame-based reconstruction. Clicks are addressed using an adaptive filtering method, and broadband noise is reduced via spectral subtraction. The performance of these techniques is evaluated using metrics like SNR and algorithms like OMP. Hardware implementation of click removal is done on a TMS320C6713 DSK board using tools like MATLAB and Code Composer Studio.
This document discusses the effects of finite word length in digital filters. It begins with an introduction to the topic, explaining that quantization of filter coefficients and operations leads to nonlinearities that change the filter response. It then provides three sentences summarizing key points:
Quantization causes limit cycles and overflow errors that change the filter behavior. Quantization noise can be modeled as white noise, but noise from correlated quantization is often neglected. Proper scaling is needed to balance dynamic range against roundoff error from quantization.
A Comparative Analysis of Structure of Machine Tool Component using Fuzzy LogicIRJET Journal
This document presents a comparative analysis of using fuzzy logic versus conventional methods to design the structure of a machine tool component, specifically a lathe bed. It describes using both an I-section and box section for the bed design and calculating stresses using conventional trial and error methods. It then applies fuzzy logic by representing key design parameters like moment of inertia as fuzzy sets and calculating alpha cuts to determine optimal values that satisfy design requirements like limiting maximum stress. The results show that an I-section bed design optimized with fuzzy logic has lower stress values than a box section, demonstrating the advantages of the fuzzy logic approach over conventional trial and error methods.
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsEditor IJCATR
In this paper we consider the initial value problem for a plate type equation with variable coefficients and memory in
1 n R n ), which is of regularity-loss property. By using spectrally resolution, we study the pointwise estimates in the spectral
space of the fundamental solution to the corresponding linear problem. Appealing to this pointwise estimates, we obtain the global
existence and the decay estimates of solutions to the semilinear problem by employing the fixed point theorem
IRJET- Optimal Riser Design for Sand Casting of Drop Ball using Constraint Op...IRJET Journal
This document presents an optimization of the riser design for sand casting of a drop ball weighing 11370 kg and made of steel. The objective is to minimize the riser volume through constrained optimization in MATLAB to increase casting yield. A mathematical model of a cylindrical riser with insulating sleeve and neck is developed. The optimized riser dimensions of 1.03 m3 volume, 1.05 m diameter and height are found to provide a 16.6% reduction from the industry riser volume of 1.236 m3, meeting shrinkage requirements. Validation with modulus method calculations supports the optimized design.
Formulas for Surface Weighted Numbers on Graphijtsrd
The boundary value problem differential operator on the graph of a specific structure is discussed in this article. The graph has degree 1 vertices and edges that are linked at one common vertex. The differential operator expression with real valued potentials, the Dirichlet boundary conditions, and the conventional matching requirements define the boundary value issue. There are a finite number of eig nv lu s in this problem.The residues of the diagonal elements of the Weyl matrix in the eigenvalues are referred to as weight numbers. The ig nv lu s are monomorphic functions with simple poles.The weight numbers under consideration generalize the weight numbers of differential operators on a finite interval, which are equal to the reciprocals of the squared norms of eigenfunctions. These numbers, along with the eig nv lu s, serve as spectral data for unique operator reconstruction. The contour integration is used to obtain formulas for surfacethe weight numbers, as well as formulas for the sums in the case of superficial near ig nv lu s. On the graphs, the formulas can be utilized to analyze inverse spectral problems. Ghulam Hazrat Aimal Rasa "Formulas for Surface Weighted Numbers on Graph" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49573.pdf Paper URL: https://www.ijtsrd.com/mathemetics/calculus/49573/formulas-for-surface-weighted-numbers-on-graph/ghulam-hazrat-aimal-rasa
Call for paper 2012, hard copy of Certificate, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJCER, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, research and review articles, IJCER Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathematics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer review journal, indexed journal, research and review articles, engineering journal, www.ijceronline.com, research journals,
yahoo journals, bing journals, International Journal of Computational Engineering Research, Google journals, hard copy of Certificate,
journal of engineering, online Submission
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document presents a method for solving fuzzy assignment problems where costs are represented by linguistic variables and fuzzy numbers. Linguistic variables are used to convert qualitative cost data into quantitative fuzzy numbers. Yager's ranking method is applied to rank the fuzzy numbers, transforming the fuzzy assignment problem into a crisp one. The resulting crisp problem is then solved using the Hungarian method to find the optimal assignment that minimizes total cost. A numerical example demonstrates the approach, showing a fuzzy cost matrix converted to crisp values and solved. The method allows handling assignment problems with imprecise, qualitative cost data using fuzzy logic concepts.
1) The document investigates using electrical discharge machining (EDM) to machine aluminum foam. It aims to identify the effects of different EDM process parameters on material removal rate (MRR) and tool wear rate (TWR).
2) An experiment is conducted using an L8 Taguchi orthogonal array with four EDM parameters (duty cycle, pulse on time, gap voltage, pulse current) at two levels. MRR and TWR are measured for each experimental run.
3) Fuzzy logic is used to map MRR and TWR as input variables to productivity as the output variable. The mapping reveals maximum productivity is achieved when MRR is between 95-110 and TWR is between 100
The document proposes a new "bound and decomposition method" to find an optimal fuzzy solution for fully fuzzy linear programming problems. The method decomposes the given fully fuzzy linear programming problem into three crisp linear programming problems: a middle level problem, upper level problem, and lower level problem. The three crisp linear programming problems are then solved separately. Using the optimal solutions from these problems, an optimal fuzzy solution for the original fully fuzzy linear programming problem is obtained. The proposed method does not require fuzzy ranking functions or restrictions on the coefficients matrix elements.
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
More Related Content
Similar to Dr Omar Presrntation of (on the solution of Multiobjective (1).ppt
A hybrid bacterial foraging and modified particle swarm optimization for mode...IJECEIAES
This paper study the model reduction procedures used for the reduction of large-scale dynamic models into a smaller one through some sort of differential and algebraic equations. A confirmed relevance between these two models exists, and it shows same characteristics under study. These reduction procedures are generally utilized for mitigating computational complexity, facilitating system analysis, and thence reducing time and costs. This paper comes out with a study showing the impact of the consolidation between the Bacterial-Foraging (BF) and Modified particle swarm optimization (MPSO) for the reduced order model (ROM). The proposed hybrid algorithm (BF-MPSO) is comprehensively compared with the BF and MPSO algorithms; a comparison is also made with selected existing techniques.
This document discusses two issues in linear regression modeling: suppression and enhancement. Suppression occurs when the sign of a standardized regression coefficient is opposite to the zero-order correlation between the predictor and dependent variable. This can happen when another predictor accounts for variability in the first predictor. Enhancement occurs when the R-squared value from a multiple regression model is higher than the sum of the individual zero-order correlations, indicating correlated predictors provide additional explanatory power together than alone. An example from a 1941 study by Horst is provided to illustrate suppression.
Application Of Local Search Methods For Solving A Quadratic Assignment Probl...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/application-of-local-search-methods-for-solving-a-quadratic-assignment-problem-a-case-study/
This paper discusses the design and application of local search methods to a real-life application at a steel cord manufacturing plant. The case study involves a layout problem that can be represented as a Quadratic Assignment Problem (QAP). Due to the nature of the manufacturing process, certain machinery need to be allocated in close proximity to each other. This issue is incorporated into the objective function through assigning high penalty costs to the unfavorable allocations. QAP belongs to one of the most difficult class of combinatorial optimization problems, and is not solvable to optimality as the number of facilities increases. We implement the well-known local search methods, 2-opt, 3-opt and tabu search. We compare the solution performances of the methods to the results obtained from the NEOS server, which provides free access to many optimization solvers on the internet.
Lossless image compression using new biorthogonal waveletssipij
Even though a large number of wavelets exist, one needs new wavelets for their specific applications. One
of the basic wavelet categories is orthogonal wavelets. But it was hard to find orthogonal and symmetric
wavelets. Symmetricity is required for perfect reconstruction. Hence, a need for orthogonal and symmetric
arises. The solution was in the form of biorthogonal wavelets which preserves perfect reconstruction
condition. Though a number of biorthogonal wavelets are proposed in the literature, in this paper four new
biorthogonal wavelets are proposed which gives better compression performance. The new wavelets are
compared with traditional wavelets by using the design metrics Peak Signal to Noise Ratio (PSNR) and
Compression Ratio (CR). Set Partitioning in Hierarchical Trees (SPIHT) coding algorithm was utilized to
incorporate compression of images.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
techDynamic characteristics and stability of cylindrical textured journal bea...ijmech
This document summarizes a study on the dynamic characteristics and stability of cylindrical textured journal bearings. The researchers numerically solved the Reynolds equation to analyze the effect of texture depth and density on the stiffness, damping coefficients, stability parameter, and whirl ratio of the bearing. They found that stability is enhanced with increasing texture depth, while there is an optimum texture density that results in maximum stability. Direct and cross stiffness/damping coefficients, stability margin, and whirl ratio were presented for different texture parameters.
One dimensional cutting stock problem 1-d-csp_ a study on data dependent triIAEME Publication
This document discusses a mathematical model for minimizing trim loss in the one-dimensional cutting stock problem (1D-CSP). The model considers order lengths that need to be cut from stock lengths of raw materials. It defines the concepts of first-order and second-order sustainable trims, which represent thresholds for the maximum allowable trim at each cutting stage. Linear approximations are constructed to predict the total trim loss for any set of input data, based on computing trim losses corresponding to the sustainable trim thresholds. The model aims to provide a practical solution for industries like manufacturing transmission towers that deal with 1D-CSP.
This document discusses issues related to linear regression analysis, including suppression and enhancement effects. It begins with an introduction and provides graphical representations of correlations between variables. The document then discusses how adding an uncorrelated predictor variable can increase the significance of other predictors, and how correlated predictors can enhance the overall model fit. It provides examples and equations to explain these "befuddling issues" in more detail.
A modeling approach for integrating durability engineering and robustness in ...Phuong Dx
This document presents mathematical models to integrate robustness, durability, and tolerances into the design of mechanical products like springs. The models optimize design parameters like wire diameter and coil diameter to minimize mass and stress while ensuring the spring provides the required deflection over its lifetime considering degradation. Three solutions are provided that incorporate different aspects: 1) ensures high reliability, 2) minimizes loss and quality, and 3) accounts for degradation over the spring's lifetime to better meet customer expectations. The models act as a decision support system for designers to evaluate tradeoffs between robustness, durability and manufacturing tolerances early in the design process.
Some Engg. Applications of Matrices and Partial DerivativesSanjaySingh011996
This document contains a submission by three students to Dr. Sona Raj Mam regarding partial differentiation, matrices and determinants, and eigenvectors and eigenvalues. It provides examples of how these mathematical concepts are applied in fields like engineering. Partial differentiation is used in economics to analyze demand and in image processing for edge detection. Matrices and determinants allow representing linear transformations in graphics software. Eigenvalues and eigenvectors have applications in areas like computer science, smartphone apps, and modeling structures in civil engineering. The document also provides real-world examples and references textbooks and websites for further information.
Design and implementation of different audio restoration techniques for audio...eSAT Journals
This document summarizes research on designing and implementing different audio restoration techniques for removing distortions like clipping, clicks, and broadband noise from audio signals. It presents methods for declipping audio using sparse representations and frame-based reconstruction. Clicks are addressed using an adaptive filtering method, and broadband noise is reduced via spectral subtraction. The performance of these techniques is evaluated using metrics like SNR and algorithms like OMP. Hardware implementation of click removal is done on a TMS320C6713 DSK board using tools like MATLAB and Code Composer Studio.
This document discusses the effects of finite word length in digital filters. It begins with an introduction to the topic, explaining that quantization of filter coefficients and operations leads to nonlinearities that change the filter response. It then provides three sentences summarizing key points:
Quantization causes limit cycles and overflow errors that change the filter behavior. Quantization noise can be modeled as white noise, but noise from correlated quantization is often neglected. Proper scaling is needed to balance dynamic range against roundoff error from quantization.
A Comparative Analysis of Structure of Machine Tool Component using Fuzzy LogicIRJET Journal
This document presents a comparative analysis of using fuzzy logic versus conventional methods to design the structure of a machine tool component, specifically a lathe bed. It describes using both an I-section and box section for the bed design and calculating stresses using conventional trial and error methods. It then applies fuzzy logic by representing key design parameters like moment of inertia as fuzzy sets and calculating alpha cuts to determine optimal values that satisfy design requirements like limiting maximum stress. The results show that an I-section bed design optimized with fuzzy logic has lower stress values than a box section, demonstrating the advantages of the fuzzy logic approach over conventional trial and error methods.
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsEditor IJCATR
In this paper we consider the initial value problem for a plate type equation with variable coefficients and memory in
1 n R n ), which is of regularity-loss property. By using spectrally resolution, we study the pointwise estimates in the spectral
space of the fundamental solution to the corresponding linear problem. Appealing to this pointwise estimates, we obtain the global
existence and the decay estimates of solutions to the semilinear problem by employing the fixed point theorem
IRJET- Optimal Riser Design for Sand Casting of Drop Ball using Constraint Op...IRJET Journal
This document presents an optimization of the riser design for sand casting of a drop ball weighing 11370 kg and made of steel. The objective is to minimize the riser volume through constrained optimization in MATLAB to increase casting yield. A mathematical model of a cylindrical riser with insulating sleeve and neck is developed. The optimized riser dimensions of 1.03 m3 volume, 1.05 m diameter and height are found to provide a 16.6% reduction from the industry riser volume of 1.236 m3, meeting shrinkage requirements. Validation with modulus method calculations supports the optimized design.
Formulas for Surface Weighted Numbers on Graphijtsrd
The boundary value problem differential operator on the graph of a specific structure is discussed in this article. The graph has degree 1 vertices and edges that are linked at one common vertex. The differential operator expression with real valued potentials, the Dirichlet boundary conditions, and the conventional matching requirements define the boundary value issue. There are a finite number of eig nv lu s in this problem.The residues of the diagonal elements of the Weyl matrix in the eigenvalues are referred to as weight numbers. The ig nv lu s are monomorphic functions with simple poles.The weight numbers under consideration generalize the weight numbers of differential operators on a finite interval, which are equal to the reciprocals of the squared norms of eigenfunctions. These numbers, along with the eig nv lu s, serve as spectral data for unique operator reconstruction. The contour integration is used to obtain formulas for surfacethe weight numbers, as well as formulas for the sums in the case of superficial near ig nv lu s. On the graphs, the formulas can be utilized to analyze inverse spectral problems. Ghulam Hazrat Aimal Rasa "Formulas for Surface Weighted Numbers on Graph" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49573.pdf Paper URL: https://www.ijtsrd.com/mathemetics/calculus/49573/formulas-for-surface-weighted-numbers-on-graph/ghulam-hazrat-aimal-rasa
Call for paper 2012, hard copy of Certificate, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJCER, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, research and review articles, IJCER Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathematics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer review journal, indexed journal, research and review articles, engineering journal, www.ijceronline.com, research journals,
yahoo journals, bing journals, International Journal of Computational Engineering Research, Google journals, hard copy of Certificate,
journal of engineering, online Submission
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document presents a method for solving fuzzy assignment problems where costs are represented by linguistic variables and fuzzy numbers. Linguistic variables are used to convert qualitative cost data into quantitative fuzzy numbers. Yager's ranking method is applied to rank the fuzzy numbers, transforming the fuzzy assignment problem into a crisp one. The resulting crisp problem is then solved using the Hungarian method to find the optimal assignment that minimizes total cost. A numerical example demonstrates the approach, showing a fuzzy cost matrix converted to crisp values and solved. The method allows handling assignment problems with imprecise, qualitative cost data using fuzzy logic concepts.
1) The document investigates using electrical discharge machining (EDM) to machine aluminum foam. It aims to identify the effects of different EDM process parameters on material removal rate (MRR) and tool wear rate (TWR).
2) An experiment is conducted using an L8 Taguchi orthogonal array with four EDM parameters (duty cycle, pulse on time, gap voltage, pulse current) at two levels. MRR and TWR are measured for each experimental run.
3) Fuzzy logic is used to map MRR and TWR as input variables to productivity as the output variable. The mapping reveals maximum productivity is achieved when MRR is between 95-110 and TWR is between 100
The document proposes a new "bound and decomposition method" to find an optimal fuzzy solution for fully fuzzy linear programming problems. The method decomposes the given fully fuzzy linear programming problem into three crisp linear programming problems: a middle level problem, upper level problem, and lower level problem. The three crisp linear programming problems are then solved separately. Using the optimal solutions from these problems, an optimal fuzzy solution for the original fully fuzzy linear programming problem is obtained. The proposed method does not require fuzzy ranking functions or restrictions on the coefficients matrix elements.
Similar to Dr Omar Presrntation of (on the solution of Multiobjective (1).ppt (20)
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Ukraine
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfleebarnesutopia
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
JavaLand 2024: Application Development Green Masterplan
Dr Omar Presrntation of (on the solution of Multiobjective (1).ppt
1. ON THE SOLUTION OF MULTIOBJECTIVE CUTTING
STOCK PROBLEM IN THE ALUMINUM INDUSTRY
UNDER FUZZY ENVIRONMENT
OMAR M. SAAD
Department of Mathematics, Faculty of Science,
Helwan University, Ain Helwan, P.O.Box 11795,
Cairo, Egypt.
e-mail: omarsd55@hotmail.com
2. ABSTRACT
In this paper a solution algorithm for solving
multiobjective cutting stock problem in the
aluminum industry under fuzzy environment
is proposed. It is considered that the scrap is
the fuzzy parameter. The concept of level set
together with the definition of this fuzzy
parameter and its membership function are
introduced. A practical example of the
method implementation for the solution
algorithm is presented.
3. INTRODUCTION
In this paper, a factory production rate S in tons/
(day, week, month or year) of molten aluminum is
considered which casts as long cylindrical rods
and swan into logs according to customer's desire
to be used for extrusion purposes. These logs
differ in the dimensions and the amount of alloying
elements added to the aluminum. A continuous
flow of molten aluminum passes to holding
furnaces then the metal is cast into long cylindrical
rods and this casting produces T rods / unit time.
4. The molten metal release into a number of
circular moulds of the same diameter, lying
on a casting table that is lowered to allow
more metal to enter until required depth is
reached. Simultaneous casting for many
rods is defined as "drop" and the required
depth is defined as the "drop length". The
butt ends of the rods are removed (treated
as scrap) and the remainder swan is cut into
logs.
5. Meeting customer's demand leads to high
production rate that requires inventory space and
the sawing process leads to scrap. Also, the price
of aluminum and the competitiveness of the
industry require that the costs of inventory and
scrap have to be minimized. Throughout this
paper, it is assumed that the scrap is a fuzzy
parameter. All of these lead to a multiobjective
mixed-integer nonlinear programming cutting stock
problem which will be formulated in the following
section.
6. According to our experiences, it is believed
that this problem has not been treated in
literature before.
7. PROBLEM FORMULATIN AND
THE SOLUTION CONCEPT
),
)
,
(
),...,
,
(
),
,
(
(
:
)
(
2
1 P
Z
F
P
Z
F
P
Z
F
F
Minimize
FMCS
n
inte ge r,
and
,
0
,
,
,...,
2
,
1
,
,...,
2
,
1
ij
i
i
j
j
ij
ij
j
i
ij
Z
X
m
j
d
P
Z
n
n
i
X
M
Z
8.
ij j
j
j
ij
ij
i P
k
Z
r
P
Z
F
~
)
,
(
where
= the costs of the scrap and the inventory.
Zij : The number of rods of length swan into logs
of length
Pj: The number of logs of length produced in
excess of the demand for those logs,
9. :
~
ij
r i
L
,
j
l
The length left from cutting rods of length
into logs called scrap and it is assumed
to be fuzzy parameter,
:
j
k j
l
A measure of the value of a log of length
that goes to inventory,
:
M The number of rods produced per drop (fixed).
10. :
i
X The number of additional drops of length i
L
:
ij
n The number of logs, where ]
/
[ j
i
ij l
L
n
and ij
j
ij
i c
l
n
L
, where:
:
ij
c is the value of the scrap aluminum when a rod of length
i
L is swan into logs of length ,
j
l ,
j
ij l
c
:
j
d j
l
The reduced demand for logs
.
11. FUZZY CONCEPTS
Fuzzy set theory has been developed for
solving problems in which descriptions of
activities and observations are imprecise,
vague and uncertain.
The term "fuzzy" refers to the situation in
which there are no well-defined boundaries
of the set of activities or observations to
which the descriptions apply. A fuzzy set is a
class of objects with membership grades.
12. A membership function, which assigns to each
object a grade of membership, is associated
with each fuzzy set. Usually the membership
grades are in [0, 1].
When the grade of membership for an object in
a set is one, this object is absolutely in that
set; when the grade of membership is zero, the
object is absolutely not in that set. Borderline
cases are assigned numbers between zero and
one.
13. :
~
ij
r
i
L
j
l
* In the following, it is assumed that
the lengths left from cutting rods of length
into logs are fuzzy scrap and those parameters
are characterized by fuzzy numbers.
A fuzzy number is defined differently by many authors
and the most frequently used definition is the following
one.
14. )
(
~ ij
r
r
ij
Definition 1. (Fuzzy number) [3]
A real fuzzy number is a convex continuous fuzzy
, and is defined as:
~
ij
r
subset of the real line R whose membership function,
(1) A continuous mapping from R to the closed interval [0, 1],
(2) ],
,
(
0
)
( 1
~ q
r
r ij
ij
rij
(3) Strictly increasing on ],
,
[ 2
1 q
q
denoted by
15. (4) ],
,
[
1
)
( 3
2
~ q
q
r
r ij
ij
r ij
(5) Strictly decreasing on ],
,
[ 4
3 q
q
(6) ).
,
[
0
)
( 4
~
q
r
r ij
ij
rij
16. Definition 2. (-Level set) [11]
The - level set of the fuzzy numbers
is defined as the ordinary set for
which the degree of their membership
function exceeds the level
~
ij
r
)
(
~
ij
r
L
:
]
1
,
0
[
17. (
L )
~
ij
r :
ij
r
)
(
~ ij
r
r
ij
,
m
j
n
i ,...,
2
,
1
;
,...,
2
,
1
* For a certain degree ,
]
1
,
0
[
),
)
,
(
),..,
,
(
),
,
(
( 2
1 P
Z
F
P
Z
F
P
Z
F
F
Minimize n
)
( MMINLCS
subject to
19. * Problem (-MMINLCS) can be rewritten in
the following equivalent form as:
)
( MMINLCS
),
)
,
(
),..,
,
(
),
,
(
( 2
1 P
Z
F
P
Z
F
P
Z
F
F
Minimize n
subject to
integer,
and
,
0
,
,
,...,
2
,
1
,
,...,
2
,
1
ij
i
i
j
j
ij
ij
j
i
ij
Z
X
m
j
d
P
Z
n
n
i
X
M
Z
20. where
,
)
,
(
ij j
j
j
ij
ij
i P
k
Z
r
P
Z
F
and
,
ij
ij
ij U
r
u
such that ij
ij U
u ,
on the variables
are lower and upper bounds
ij
r , respectively.
21. Definition 3. (-Pareto-optimal solution) [11]
)
,
( *
*
j
ij P
Z
),
,
( j
ij P
Z
)
(
~
ij
ij r
L
r
A point is said to be an Pareto optimal
MMINLCS), if and only if there
such that:
Solution to problem (
Does not exist another
.
,...,
2
,
1
),
,
(
)
,
( *
*
n
s
P
Z
F
P
Z
F j
ij
s
j
ij
s
22. with strictly inequality holding for at least
one s, where the corresponding values of
parameters are called level
optimal parameters.
*
ij
r
23. To find an - Pareto optimal solution
to problem (-MMINLCS), a weighted
objective function is minimized by
multiplying each objective function in
problem (- MMINLCS) by a weight,
then adding them together, see [2].
24. * This leads to find a solution of the
following problem C (w):
to
subjet
P
Z
F
w
Minimize
w
C
n
s
s
s
1
),
,
(
:
)
(
integer,
and
,
0
,
,
,...,
2
,
1
,
,...,
2
,
1
ij
i
i
j
j
ij
ij
j
i
ij
Z
X
m
j
d
P
Z
n
n
i
X
M
Z
25. where
,
)
,
(
ij j
j
j
ij
ij
i P
k
Z
r
P
Z
F
and
,
ij
ij
ij U
r
u
provided that .
1
and
)
,...,
2
,
1
(
,
0
n
1
s
s
w
n
s
ws
* It should be noted that problem C(w) above is a
mixed-integer nonlinear programming problem with
a single-objective function that can be solved using
LINGO software along with the branch-and-bound
method [14].
26. SOLUTION ALGORITHM
Step0.
Start with a degree .
0
*
Step1.
Determine the points (q1,q2,q3,q4) for the fuzzy parameters
~
ij
r in problem (FMCS) with the corresponding
)
(
~ ij
r
r
ij
assumptions (1)-(6) in Definition 1.
membership function satisfying
27. Step2.
Convert problem (FMCS) into the non-fuzzy
version of problem (-MMINLCS).
Step3.
Use the nonnegative weighted sum approach [2]
to formulate problem )
( *
w
C at certain
n
s
s
s w
w
w
1
*
*
.
1
,
28. Step4.
Find the -optimal solution of the problem
using the LINGO software along with the branch-and-
bound method [14].
)
( *
w
C
)
step
( *
]
1
,
0
[
Step5.
Set and go to step 1.
Step6.
Repeat again the above procedure until the interval [0, 1]
is fully exhausted. Then, stop.
29. PRACTICAL EXAMPLE
* Suppose a factory has an order ),
pieces
400
(
j
d
where the rods are of the length 1,
i
for
)
5
(
m
Li
and swan into logs of length
).
70
,
55
,
50
( 3
2
1 cm
l
cm
l
cm
l
where j
i
ij l
L
n /
then .
7
,
9
,
10 13
12
11
n
n
n
Also, the inventory values are given as
.
600
,
500 2
1
k
k
30. The number of rods produced from one drop
is (M = 20 rods). There is an additional drop
determined by (xi = 30) for i =1. It is assumed
that the constraint of the over production is
500 Pj 600.
In order to minimize the scarp and the
inventory, the following multiobjective
mixed-integer nonlinear cutting stock
problem can be formulated as:
32. * Assume that the membership function has
the following trapezoidal form:
.
,
0
,
)
(
1
,
,
1
,
)
(
1
,
,
0
)
(
4
4
3
2
3
4
3
3
2
2
1
2
2
1
2
1
~
q
r
q
r
q
q
q
q
r
q
r
q
q
r
q
q
q
q
r
q
r
r
ij
ij
ij
ij
ij
ij
ij
ij
r ij
33. * Assume also that the fuzzy parameters are
given by the following fuzzy numbers shown below:
~
i j
r
q4
q3
q2
q1
20
15
10
5
35
30
20
10
10
7
5
2
11
~
r
12
~
r
13
~
r
34. • For a certain degree
(say), it is easy to find:
,
36
.
0
*
.
4
.
9
6
.
2
,
34
12
,
19
6 13
12
11
r
r
r
•Therefore, the non-fuzzy multiobjective cutting
stock problem can be written in the following form:
36. * Using the weighting method [2] and setting
,
3
/
1
13
12
11
w
w
w
then the cutting stock problem with a single-objective
function will take the form:
),
600
(
3
/
1
)
550
(
3
/
1
)
500
(
3
/
1 3
13
13
2
12
12
1
11
11 P
Z
r
P
Z
r
P
Z
r
F
Minimize
subject to
,
600
13
12
11
Z
Z
Z
38. The above mixed-integer nonlinear
programming problem can be solved using
the LINGO software along with the branch-
and-bound method [14] to obtain the
following -Pareto mixed-integer optimal
solution:
5
.
276075
with
,
500
,
500
,
502
,
246
,
10
,
9
,
4
.
7
,
28
,
14
3
2
1
13
12
11
13
12
11
F
P
P
P
Z
Z
Z
r
r
r
39. It should be noted that a systematic
variation of the degree will yield
another -Pareto optimal solution.
]
1
,
0
[
40. CONCLUSIONS
In our opinion, many aspects and general
questions remain to be studied and explored
in the area of multiobjective cutting stock
problem in the aluminum industry. There
are, however, several unsolved problems
should be discussed in the future. Some of
these problems are:
41. An algorithm is required for treating
multiobjective cutting stock problem in
the aluminum industry with fuzzy
parameters in the resources (the right-
hand side of the constraints).
An algorithm is needed for dealing with
multiobjective cutting stock problem in
the aluminum industry with fuzzy
parameters in the objective functions
and in the resources.
42. It is required to continue research work
in the area of large-scale multiobjective
cutting stock problem in the aluminum
industry under fuzzy environment.
A parametric study on multiobjective
cutting stock problem in the aluminum
industry should be carried out for
different values of level sets of the fuzzy
parameters.
43. ACKNOWLEDGMENT
The author is deeply grateful to Prof. H.
A. El-Hofy, Production Engineering
Department, Faculty of Engineering,
Alexandria University, Egypt for
reviewing the paper, useful discussions,
and valuable comments
44. REFERENCES
[1] Bishoff, E. E. and Wawsher, G.," Cutting and
Packing", European Journal of Operational Research
84 (1995) 503-505.
[2] Chankong, V. and Haimes, Y. Y.," Multiobjective
Decision-making: Theory and Methodology", North
Holland Series in Systems Science and Engineering
(1983).
[3] Dubois, D. and Prade, A.," Fuzzy Sets and Systems:
Theory and Applications", Academic Press, New York
(1980).
[4] Ezzat, L. E. E. H.,"A Study of the Cutting Stock
Problem in the Aluminum Industry", M.SC. Thesis,
Helwan University, Cairo, Egypt (2003).
45. [5] Ferreira, J. S., Neves, M. A. and Fonseca, P.," A
Two-Phase Roll Cutting Problem", European Journal
of Operational Research 44 (1990) 185-196.
[6] Goulimis, C.,"Optimal Solutions for the Cutting
Stock Problem", European Journal of Operational
Research 44 (1990) 197-208.
[7] Gradisar, M., Jesenko, J. and Resinovic, G.,"
Optimization of Roll Cutting in Clothing Industry",
Computers & Operations Research 24 (1997) 945-
953.
[8] Gradisar, M. and Trkman, P.'"A Combined
Approach to the Solution to the General One-
Dimensional Cutting Stock Problem", Computers &
Operations Research Vol. 32, Issue 7 (2005), 1793-
1807.
46. [9] Haessler, R. W. and Vonderembse, M. A.," A
Procedure for solving the Master Slab Cutting
Stock Problem in the Steel Industry", AIIE
Transactions 11 (1979) 160-165.
[10] Hughes, J. B.," A Multiobjective Cutting
Stock Problem in the Aluminum Industry",
Proceeding of the 3rd ORMA Conference,
Military Technical College, Cairo, Egypt (1989).
[11] Sakawa, M. and Yano, H.," Interactive
Decision Making for Multiobjective Programming
Problems with Fuzzy Parameters", Fuzzy Sets
and Systems 29 (1989) 315-326.
[12] Stadtler H.,"A One-Dimensional Cutting
Stock Problem in the Aluminum Industry and its
Solution", European Journal of Operational
Research 44 (1990) 209-223.
47. [13] Sweeney, P. E. and Paternoster, E. R.,"
Cutting and Packing: A Categorised, Application-
Oriented Research Bibliography", Journal of
the Operational Research Society 43 (1992)
691-706.
[14] Taha, H. A.," Integer programming: Theory,
Applications and Computations", Academic
Press, New York (1975).
[15] Weng, W. C. and Hung, C. F.," The
Optimization of a Two-stage FSPM under Space
Constrain by Tabu Search', J. Taiwan Soc. Naval
Architect. Marine. Engine. Vol.22, No. 3 (2003)
133-141.
48. [16] Weng, W. C., Yang, C. T., and Hung, C. F.,"
The Optimization of Section Steel Arrangement
for Ship Construction Associated with Cutting
Rule by Genetic Algorithm', The Seventh Asian-
Pacific Technical Exchange and Advisory
Meeting on Marine Structure, National Cheng
Kung University, Tainan, Taiwan (2003) 237-246.
[17] Weng, W. C., Sung, T. C. and Yang, C. F.," A
Two-stage Optimization of Piece Arrangement
for the Cutting Problem in Shipbuilding", Journal
of Marine Science and Technology, Vol. 12, No.
3 (2004) 175-182.