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Advances in Metaheuristics for Hard Optimization - Author

Advances in Metaheuristics for Hard Optimization

By: Author

eText | 6 December 2007

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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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Non-FictionBusiness & ManagementOperational ResearchComputing & I.T.Computer ScienceArtificial IntelligenceComputer Programming & Software DevelopmentAlgorithms & Data StructuresMathematicsOptimisationLinear ProgrammingCombinatorics & Graph Theory
Engineering & TechnologyTechnology in GeneralTechnical DesignApplied MathematicsManagement & Management Techniques

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Published: 22nd November 2010

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