Advances in Metaheuristics for Hard Optimization

The Resource Advances in Metaheuristics for Hard Optimization
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Advances in Metaheuristics for Hard Optimization
Statement of responsibility
edited by Patrick Siarry, Zbigniew Michalewicz
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Editor
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Language
eng
Summary
Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics. The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications. This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing
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0
LC call number
  • Q334-342
  • TJ210.2-211.495
Literary form
non fiction
Series statement
Natural Computing Series,
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