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内容説明
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.