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Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search (Operations Research/Computer Science Inter

Posted on 2010-03-15




Name:Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search (Operations Research/Computer Science Inter
ASIN/ISBN:1402081340
Language:English
File size:23.1 Mb
Pages: 466
Publisher: Springer (2005-01-11)
ISBN: 1402081340
Language: English
File Type: PDF
File Size: 23.1 MB
   Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search (Operations Research/Computer Science Inter



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Cesar Rego (Editor), Bahram Alidaee (Editor), "Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search "

Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search is to report original research on algorithms and applications of tabu search, scatter search or both, as well as variations and extensions having "adaptive memory programming" as a primary focus. Individual chapters identify useful new implementations or new ways to integrate and apply the principles of TS and SS, or that prove new theoretical results, or describe the successful application of these methods to real world problems

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