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Metaheuristic Optimization via Memory and Evolution. Tabu Search and Scatter Search PDF

471 Pages·2010·23.646 MB·English
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by Cesar Rego, Bahram Alidaee| 2010| 471 pages| 23.646| English

About 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.

Detailed Information

Author:Cesar Rego, Bahram Alidaee
Publication Year:2010
Pages:471
Language:English
File Size:23.646
Format:PDF
Price:FREE
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