9780792383697 - meta-heuristics: advances and trends in local search paradigms for optimization (5 Ergebnisse)
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 511 | Sprache: Englisch | Produktart: Bücher | Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected…articles describe the most recent developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies. The book is divided into six parts, grouped mainly by the techniques considered. The extensive first part with twelve papers covers tabu search and its application to a great variety of well-known combinatorial optimization problems (including the resource-constrained project scheduling problem and vehicle routing problems). In the second part we find one paper where tabu search and simulated annealing are investigated comparatively and two papers which consider hybrid methods combining tabu search with genetic algorithms. The third part has four papers on genetic and evolutionary algorithms. Part four arrives at a new paradigm within meta-heuristics. The fifth part studies the behavior of parallel local search algorithms mainly from a tabu search perspective. The final part examines a great variety of additional meta-heuristics topics, including neural networks and variable neighbourhood search as well as guided local search. Furthermore, the integration of meta-heuristics with the branch-and-bound paradigm is investigated.
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Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization
Voß, Stefan|Martello, Silvano|Osman, Ibrahim H.|Roucairol, Cathérine
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Gebunden. Zustand: New. Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected .
Meta-Heuristics
. Ed(s): Voss, Stefan; Martello, Silvano; Osman, Ibrahim H. (University of Kent); Roucairol, Catherine (Universite de Versailles, France)
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Zustand: New. Offers a selection of the papers presented at the Second Meta-Heuristics Conference (MIC 97). This title describes the developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies. Editor(s): Voss, Stefan; Martello, Silvano; Osman, Ibrahim H. (University… of Kent); Roucairol, Catherine (Universite de Versailles, France). Num Pages: 511 pages, biography. BIC Classification: KJMD; KJT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 28. Weight in Grams: 2010. . 1998. Hardback. . . . . Books ship from the US and Ireland.
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Buch. Zustand: Neu. Neuware - Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected articles describe the most recent developments in theory and app…lications of meta-heuristics, heuristics for specific problems, and comparative case studies. The book is divided into six parts, grouped mainly by the techniques considered. The extensive first part with twelve papers covers tabu search and its application to a great variety of well-known combinatorial optimization problems (including the resource-constrained project scheduling problem and vehicle routing problems). In the second part we find one paper where tabu search and simulated annealing are investigated comparatively and two papers which consider hybrid methods combining tabu search with genetic algorithms. The third part has four papers on genetic and evolutionary algorithms. Part four arrives at a new paradigm within meta-heuristics. The fifth part studies the behavior of parallel local search algorithms mainly from a tabu search perspective. The final part examines a great variety of additional meta-heuristics topics, including neural networks and variable neighbourhood search as well as guided local search. Furthermore, the integration of meta-heuristics with the branch-and-bound paradigm is investigated.
