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Handbook of Global Optimization : Volume 2 / edited by Panos M. Pardalos, H. Edwin Romeijn
(Nonconvex Optimization and Its Applications ; 62)
版 | 1st ed. 2002. |
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出版者 | New York, NY : Springer US : Imprint: Springer |
出版年 | 2002 |
本文言語 | 英語 |
大きさ | VIII, 572 p. 27 illus : online resource |
著者標目 | Pardalos, Panos M editor Romeijn, H. Edwin editor SpringerLink (Online service) |
件 名 | LCSH:Mathematics -- Data processing
全ての件名で検索
LCSH:Operations research LCSH:Management science LCSH:Artificial intelligence -- Data processing 全ての件名で検索 LCSH:Mathematical optimization LCSH:Algorithms FREE:Computational Mathematics and Numerical Analysis FREE:Operations Research, Management Science FREE:Data Science FREE:Optimization FREE:Algorithms |
一般注記 | 1 Tight relaxations for nonconvex optimization problems using the Reformulation-Linearization/Convexification Technique (RLT) -- 2 Exact algorithms for global optimization of mixed-integer nonlinear programs -- 3 Algorithms for global optimization and discrete problems based on methods for local optimization -- 4 An introduction to dynamical search -- 5 Two-phase methods for global optimization -- 6 Simulated annealing algorithms for continuous global optimization -- 7 Stochastic Adaptive Search -- 8 Implementation of Stochastic Adaptive Search with Hit-and-Run as a generator -- 9 Genetic algorithms -- 10 Dataflow learning in coupled lattices: an application to artificial neural networks -- 11 Taboo Search: an approach to the multiple-minima problem for continuous functions -- 12 Recent advances in the direct methods of X-ray crystallography -- 13 Deformation methods of global optimization in chemistry and physics -- 14 Experimental analysis of algorithms -- 15 Global optimization: software, test problems, and applications In 1995 the Handbook of Global Optimization (first volume), edited by R. Horst, and P.M. Pardalos, was published. This second volume of the Handbook of Global Optimization is comprised of chapters dealing with modern approaches to global optimization, including different types of heuristics. Topics covered in the handbook include various metaheuristics, such as simulated annealing, genetic algorithms, neural networks, taboo search, shake-and-bake methods, and deformation methods. In addition, the book contains chapters on new exact stochastic and deterministic approaches to continuous and mixed-integer global optimization, such as stochastic adaptive search, two-phase methods, branch-and-bound methods with new relaxation and branching strategies, algorithms based on local optimization, and dynamical search. Finally, the book contains chapters on experimental analysis of algorithms and software, test problems, and applications HTTP:URL=https://doi.org/10.1007/978-1-4757-5362-2 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9781475753622 |
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EB00227927 |
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