Handbook of Metaheuristics (Google eBook)

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Springer Science & Business Media, Sep 11, 2010 - Business & Economics - 668 pages
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The first edition of the Handbook of Metaheuristics was published in 2003 under the editorship of Fred Glover and Gary A. Kochenberger. Given the numerous developments observed in the field of metaheuristics in recent years, it appeared that the time was ripe for a second edition of the Handbook. When Glover and Kochenberger were unable to prepare this second edition, they suggested that Michel Gendreau and Jean-Yves Potvin should take over the editorship, and so this important new edition is now available. Through its 21 chapters, this second edition is designed to provide a broad coverage of the concepts, implementations and applications in this important field of optimization. Original contributors either revised or updated their work, or provided entirely new chapters. The Handbook now includes updated chapters on the best known metaheuristics, including simulated annealing, tabu search, variable neighborhood search, scatter search and path relinking, genetic algorithms, memetic algorithms, genetic programming, ant colony optimization, multi-start methods, greedy randomized adaptive search procedure, guided local search, hyper-heuristics and parallel metaheuristics. It also contains three new chapters on large neighborhood search, artificial immune systems and hybrid metaheuristics. The last four chapters are devoted to more general issues related to the field of metaheuristics, namely reactive search, stochastic search, fitness landscape analysis and performance comparison.
  

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Contents

1 Simulated Annealing
1
2 Tabu Search
41
3 Variable Neighborhood Search
60
Fundamentals Advances and Applications
87
5 Genetic Algorithms
109
6 A Modern Introduction to Memetic Algorithms
140
7 Genetic Programming
185
Overview and Recent Advances
226
13 Large Neighborhood Search
399
14 Artificial Immune Systems
420
15 A Classification of Hyperheuristic Approaches
449
16 Metaheuristic Hybrids
469
17 Parallel Metaheuristics
497
Learning While Optimizing
543
19 Stochastic Search in Metaheuristics
572
20 An Introduction to Fitness Landscape Analysis and Cost Models for Local Search
599

9 Advanced Multistart Methods
265
Advances Hybridizations and Applications
282
11 Guided Local Search
321
Framework and Applications
362
21 Comparison of Metaheuristics
624
Subject Index
641
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