书目名称 | Hybrid Metaheuristics | 副标题 | Powerful Tools for O | 编辑 | Christian Blum,Günther R. Raidl | 视频video | | 概述 | Authors among the leading researchers in this domain.Reflects the shift to problem-oriented rather than algorithm-oriented approaches.Valuable for researchers and graduate students in optimization, al | 丛书名称 | Artificial Intelligence: Foundations, Theory, and Algorithms | 图书封面 |  | 描述 | .This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives. ..The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical | 出版日期 | Book 2016 | 关键词 | Heuristics; Metaheuristics; Hybrid Metaheuristics; Dynamic Programming; CPLEX; Constraint Programming; Opt | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-30883-8 | isbn_softcover | 978-3-319-80907-6 | isbn_ebook | 978-3-319-30883-8Series ISSN 2365-3051 Series E-ISSN 2365-306X | issn_series | 2365-3051 | copyright | Springer International Publishing Switzerland 2016 |
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