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Titlebook: Hybrid Metaheuristics; Powerful Tools for O Christian Blum,Günther R. Raidl Book 2016 Springer International Publishing Switzerland 2016 He

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发表于 2025-3-21 17:43:40 | 显示全部楼层 |阅读模式
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Titlebook: Hybrid Metaheuristics; Powerful Tools for O Christian Blum,Günther R. Raidl Book 2016 Springer International Publishing Switzerland 2016 He
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
doihttps://doi.org/10.1007/978-3-319-30883-8
isbn_softcover978-3-319-80907-6
isbn_ebook978-3-319-30883-8Series ISSN 2365-3051 Series E-ISSN 2365-306X
issn_series 2365-3051
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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发表于 2025-3-21 20:50:56 | 显示全部楼层
Hybridization Based on Problem Instance Reduction, GUROBI are often very effective up to a certain, problem-specific instance size. When given a problem instance too large to be directly solved by a MIP solver, it might be possible to reduce the problem instance in a clever way such that the resulting reduced problem instance contains high-quality
发表于 2025-3-22 01:14:34 | 显示全部楼层
Hybridization Based on Large Neighborhood Search,rth called the incumbent solution—first, destroy selected parts of it, resulting in a partial solution. Then apply some other, possibly exact, technique to find the best valid solution on the basis of the given partial solution, that is, the best valid solution that contains the given partial soluti
发表于 2025-3-22 07:05:15 | 显示全部楼层
Making Use of a Parallel, Non-independent, Construction of SolutionsWithin Metaheuristics,ACO) and greedy randomized adaptive search procedures (GRASP). These techniques construct solutions probabilistically by sampling a probability distribution over the search space. Solution constructions are sequential and independent from each other. Moreover, greedy information is used in a probabi
发表于 2025-3-22 12:08:52 | 显示全部楼层
Hybridization Based on Complete Solution Archives,-and-bound: We extend the metaheuristic by a complete solution archive that stores all considered candidate solutions organized along the principles of a branch-and-bound tree. The approach is particularly appealing for problems with expensive evaluation functions or a metaheuristic applying indirec
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gspunkt waren Ende der 1970er- und Anfang der 1980er-Jahre Überlegungen, die der Bildung einen bedeutenden Stellenwert bei der endogenen – also einer auf die regionalen Potenziale setzenden – Regionalentwicklung und bei der Förderung von wirtschaftlichen Innovationen zumaßen (vgl. Derenbach 1982 und
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