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.
| ISBN: | 9781441954831 |
| Publication date: | 8th December 2010 |
| Author: | Cesar Rego, Bahram Alidaee |
| Publisher: | Springer an imprint of Springer US |
| Format: | Paperback |
| Pagination: | 466 pages |
| Series: | Operations Research/Computer Science Interfaces Series |
| Genres: |
Operational research Management decision making Optimization Maths for engineers |
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.
Metaheuristic Optimization Via Memory and Evolution features in the following genres: Operational research, Management decision making, Optimization, Maths for engineers
Paperback. Not Available.
Metaheuristic Optimization Via Memory and Evolution was written by Cesar Rego, Bahram Alidaee and published by Springer an imprint of Springer US
Metaheuristic Optimization Via Memory and Evolution has 466 pages
Yes it is part of Operations Research/Computer Science Interfaces Series series