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Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization by Brand: Springer *Collection Books »PDF

Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization Meta-Heuristics: Advances and Trends in Local Search Paradigms forOptimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Seco


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Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization

Title:Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization
Author:Brand: Springer
Rating:4.98 (417 Votes)
Asin:0792383699
Format Type:Hardcover
Number of Pages:511 Pages
Publish Date:1998-11-30
Genre:

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Meta-Heuristics: Advances and Trends in Local Search Paradigms forOptimizations 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 a

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