Metaheuristic Optimization via Memory and Evolution / Najlacnejšie knihy
Metaheuristic Optimization via Memory and Evolution

Code: 01418257

Metaheuristic Optimization via Memory and Evolution

by Cesar Rego, Bahram Alidaee

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 Metah ... more

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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science

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