Presentations and documents tagged “genetic-algorithms”

  • Fast, Effective Genetic Algorithms for Large, Hard Problems Fast, Effective Genetic Algorithms for Large, H... from deg511, posted 4 months ago in Technology. 554 views Tutorial by David E. Goldberg at 2009 ACM Genetic and Evolutionary Computation Summit in Shanghai, China.
  • Optimizing Coverage in a K-Covered and Connected Sensor Network Using Genetic Algorithms Optimizing Coverage in a K-Covered and Connecte... from tekrei, posted 7 months ago in Technology. 367 views Optimizing Coverage in a K-Covered and Connected Sensor Network Using Genetic Algorithms presentation.
  • Not Your Grandmother's Genetic Algorithm Not Your Grandmother's Genetic Algorithm from deg511, posted 8 months ago in Technology. 990 views Talk presented in honor of John Holland at Adapation, Order & Emergence http://www.ntu.edu.sg/event/Pages/AdaptationOrderAndEmergence.aspx.
  • Nighthawk: A Two-Level Genetic-Random Unit Test Data Generator Nighthawk: A Two-Level Genetic-Random Unit Test... from timmenzies, posted 2 years ago in Technology. 1562 views A talk to ASE 2007 by Jamie Andrews, Felix C. H. Li Department of Computer Science University of Western Ontario; and Tim Menzies Lane Department of Computer Science West Virginia University
  • Genetic Algorithms and Genetic Programming for Multiscale Modeling Genetic Algorithms and Genetic Programming for ... from kknsastry, posted 3 years ago in Business & Mgmt. 1915 views Effective and efficient multiscale modeling is essential to advance both the science and synthesis in a wide array of fields such as physics, chemistry, materials science, biology, biotechnology and pharmacology. This study investigates the...
  • Do not Match, Inherit: Fitness Surrogates for Genetics-Based Machine Learning Techniques Do not Match, Inherit: Fitness Surrogates for G... from xllora, posted 3 years ago in Technology. 1540 views A byproduct benefit of using probabilistic model-building genetic algorithms is the creation of cheap and accurate surrogate models. Learning classifier systems---and genetics-based machine learning in general---can greatly benefit from suc...
  • Towards billion bit optimization via parallel estimation of distribution algorithm Towards billion bit optimization via parallel e... from kknsastry, posted 3 years ago in Business & Mgmt. 1746 views This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm to solve very large scale problems with millions to billions of variables. The paper presents principled results demonstrating the sc...
  • Empirical Analysis of ideal recombination on random decomposable problems Empirical Analysis of ideal recombination on ra... from kknsastry, posted 3 years ago in Finance. 1200 views This paper analyzes the behavior of a selectorecombinative genetic algorithm (GA) with an ideal crossover on a class of random additively decomposable problems (rADPs). Specifically, additively decomposable problems of order k whose subsolu...
  • Population sizing for entropy-based model buliding In genetic algorithms Population sizing for entropy-based model bulid... from kknsastry, posted 3 years ago in Technology. 1104 views This paper presents a population-sizing model for the entropy-based model building in genetic algorithms. Specifically, the population size required for building an accurate model is investigated. The effect of the selection pressure on pop...
  • Let's get ready to rumble redux: Crossover versus mutation head to head on exponentially scaled problems Let's get ready to rumble redux: Crossover vers... from kknsastry, posted 3 years ago in Finance. 969 views This paper analyzes the relative advantages between crossover and mutation on a class of deterministic and stochastic additively separable problems with substructures of non-uniform salience. This study assumes that the recombination and mu...
  • Modeling selection pressure in XCS for proportionate and tournament selection Modeling selection pressure in XCS for proporti... from kknsastry, posted 3 years ago in Technology. 1359 views In this paper, we derive models of the selection pressure in XCS for proportionate (roulette wheel) selection and tournament selection. We show that these models can explain the empirical results that have been previously presented in the l...
  • Modeling XCS in class imbalances: Population sizing and parameter settings Modeling XCS in class imbalances: Population si... from kknsastry, posted 3 years ago in Technology. 910 views This paper analyzes the scalability of the population size required in XCS to maintain niches that are infrequently activated. Facetwise models have been developed to predict the effect of the imbalance ratio—ratio between the number of ins...
  • Substructrual surrogates for learning decomposable classification problems: implementation and first results Substructrual surrogates for learning decomposa... from kknsastry, posted 3 years ago in Technology. 848 views This paper presents a learning methodology based on a substructural classification model to solve decomposable classification problems. The proposed method consists of three important components: (1) a structural model that represents salie...
  • Let's get ready to rumble redux: Crossover versus mutation head to head on exponentially scaled problems Let's get ready to rumble redux: Crossover vers... from kknsastry, posted 3 years ago in Business & Mgmt. 955 views This paper analyzes the relative advantages between crossover and mutation on a class of deterministic and stochastic additively separable problems with substructures of non-uniform salience. This study assumes that the recombination and mu...
  • Automated alphabet reduction with evolutionary algorithms for protein structure prediction Automated alphabet reduction with evolutionary ... from kknsastry, posted 3 years ago in Finance. 1057 views This paper focuses on automated procedures to reduce the dimensionality of protein structure prediction datasets by simplifying the way in which the primary sequence of a protein is represented. The potential benefits of this procedure are ...
  • Analyzing probabilistic models in hierarchical BOA on traps and spin glasses Analyzing probabilistic models in hierarchical ... from kknsastry, posted 3 years ago in Technology. 783 views The hierarchical Bayesian optimization algorithm (hBOA) can solve nearly decomposable and hierarchical problems of bounded difficulty in a robust and scalable manner by building and sampling probabilistic models of promising solutions. This...
  • Modeling selection pressure in XCS for proportionate and tournament selection Modeling selection pressure in XCS for proporti... from kknsastry, posted 3 years ago in Technology. 712 views In this paper, we derive models of the selection pressure in XCS for proportionate (roulette wheel) selection and tournament selection. We show that these models can explain the empirical results that have been previously presented in the l...
  • Modeling XCS in class imbalances: Population size and parameter settings Modeling XCS in class imbalances: Population si... from kknsastry, posted 3 years ago in Technology. 826 views This paper analyzes the scalability of the population size required in XCS to maintain niches that are infrequently activated. Facetwise models have been developed to predict the effect of the imbalance ratio—ratio between the number of ins...
  • Genetic algorithms in search, optimization, and machine learning Genetic algorithms in search, optimization, and... from deg511, posted 3 years ago in Technology. 6107 views Introductory lecture from award-winning UIUC course on genetic algorithms.
  • The DISCUS project The DISCUS project from xllora, posted 3 years ago in Technology. 2127 views This presentation covers a brief overview of the current stage of the DISCUS project. General overview and introduction to some of the currently available tools

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