Genetic algorithms.
Overview
Works: | 59 works in 24 publications in 24 languages |
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Titles
Adaptive learning by genetic algorithms :analytical results and applications to economic models /
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An introduction to genetic algorithms for scientists and engineers /
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Evolutionary algorithms in engineering and computer science :recent advances in genetic algorithms, evolution strategies, evolutionary programming, genetic programming, and industrial applications /
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Evolutionary multiobjective optimization :theoretical advances and applications /
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Evolutionary algorithms in theory and practice :evolution strategies, evolutionary programming, genetic algorithms /
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Foundations of Generic Optimization /2,Applications of Fuzzy Control, Genetic Algorithms and Neural Networks /
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Hierarchical Bayesian Optimization AlgorithmToward a New Generation of Evolutionary Algorithms /
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Extending the Scalability of Linkage Learning Genetic AlgorithmsTheory & Practice /
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Network Models and OptimizationMultiobjective Genetic Algorithm Approach /
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Fuzzy modeling and genetic algorithms for data mining and exploration /
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Multiobjective genetic algorithms for clusteringapplications in data mining and bioinformatics /
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Intelligent controla hybrid approach based on fuzzy logic, neural networks and genetic algorithms /
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Identifying patterns in financial marketsnew approach combining rules between PIPs and SAX /
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DNA computing based genetic algorithmapplications industrial process modeling and control /
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Stock exchange trading using grid pattern optimized by a genetic algorithm with speciationthe case of S&P 500 /
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Genetic algorithms and remote sensing technology for tracking flight debris
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Artificial intelligence in highway location and alignment optimizationapplications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments /
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Applying Lean Principles and Set-Based Approaches in Product Development.
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Applied genetic algorithm and its variantscase studies and new developments /
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