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Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search (Operations Research Computer Science Interfaces Series) PDF

472 Pages·2005·22.882 MB·English
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by Cesar Rego and Bahrain Alidaee| 2005| 472 pages| 22.882| English

About Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search (Operations Research Computer Science Interfaces Series)

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.

Detailed Information

Author:Cesar Rego and Bahrain Alidaee
Publication Year:2005
ISBN:9780387236674
Pages:472
Language:English
File Size:22.882
Format:PDF
Price:FREE
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