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Metaheuristic Optimization Via Memory and Evolution: Tabu Search and Scatter Search
Hardcover
Series: Operations Research/Computer Science Interfaces, Book 30
General MathematicsProbability & Statistics
ISBN13: 9781402081347
Publisher: Springer Nature
Published: Jan 11 2005
Pages: 466
Weight: 2.05
Height: 1.30 Width: 6.30 Depth: 9.50
Language: English
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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