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Titlebook: Handbook of Metaheuristics; Michel Gendreau,Jean-Yves Potvin Book 2019Latest edition Springer International Publishing AG, part of Springe

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發(fā)表于 2025-3-21 19:42:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of Metaheuristics
編輯Michel Gendreau,Jean-Yves Potvin
視頻videohttp://file.papertrans.cn/422/421651/421651.mp4
概述Provides a complete update to the handbook for the latest developments in metaheuristics methodologies.Offers a broad coverage of the concepts, implementations and applications in this important field
叢書名稱International Series in Operations Research & Management Science
圖書封面Titlebook: Handbook of Metaheuristics;  Michel Gendreau,Jean-Yves Potvin Book 2019Latest edition Springer International Publishing AG, part of Springe
描述The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima
出版日期Book 2019Latest edition
關(guān)鍵詞Metaheuristics; Optimization; Heuristics; Tabu Search; Memetic Algorithms; Stochastic Search; Search Optim
版次3
doihttps://doi.org/10.1007/978-3-319-91086-4
isbn_softcover978-3-030-08173-7
isbn_ebook978-3-319-91086-4Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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