Metaheuristic Optimization via Memory and Evolution is popular PDF and ePub book, written by Cesar Rego in 2006-03-30, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Metaheuristic Optimization via Memory and Evolution can be Read Online from any device for your convenience.
Metaheuristic Optimization via Memory and Evolution Book PDF Summary
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.
Detail Book of Metaheuristic Optimization via Memory and Evolution PDF
- Author : Cesar Rego
- Release : 30 March 2006
- Publisher : Springer Science & Business Media
- ISBN : 9780387236674
- Genre : Business & Economics
- Total Page : 472 pages
- Language : English
- PDF File Size : 9,7 Mb
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