
EAN: 9783319308821

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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 programming dynamic programming or constraint programming with metaheuristics reflecting cross-fertilization in fields such as optimization algorithmics mathematical modeling operations research statistics and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.
Produktinformationen zuletzt aktualisiert am
04.04.2025 um 18:59 Uhr
04.04.2025 um 18:59 Uhr
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EAN
9783319308821
MPN
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ASIN
3319308823
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