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Titlebook: Metaheuristic Optimization via Memory and Evolution; Tabu Search and Scat Ramesh Sharda,Stefan Vo?,Bahram Alidaee Book 2005 Springer-Verlag

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書目名稱Metaheuristic Optimization via Memory and Evolution
副標(biāo)題Tabu Search and Scat
編輯Ramesh Sharda,Stefan Vo?,Bahram Alidaee
視頻videohttp://file.papertrans.cn/632/631350/631350.mp4
概述Unique in its treatment of the new linkage technology in Adaptive Memory Programming (AMP), which allows researchers to link major heuristic strategies together and the linked combination provides a w
叢書名稱Operations Research/Computer Science Interfaces Series
圖書封面Titlebook: Metaheuristic Optimization via Memory and Evolution; Tabu Search and Scat Ramesh Sharda,Stefan Vo?,Bahram Alidaee Book 2005 Springer-Verlag
描述.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..
出版日期Book 2005
關(guān)鍵詞Permutation; algorithm; algorithms; combinatorial optimization; genetic algorithms; linear optimization; l
版次1
doihttps://doi.org/10.1007/b102147
isbn_softcover978-1-4419-5483-1
isbn_ebook978-0-387-23667-4Series ISSN 1387-666X Series E-ISSN 2698-5489
issn_series 1387-666X
copyrightSpringer-Verlag US 2005
The information of publication is updating

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Book 2005aving "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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A Tabu Search Heuristic for the Uncapacitated Facility Location Problemms with known optimal solutions from the literature. Solutions obtained with this tabu search procedure completely dominate those obtained with the Lagrangian method for randomly generated test problems.
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Adaptive Memory Search Guidance for Satisfiability Problemsaintaining extra memory search guidance structures and the potential benefit they have on the search. Computational results on a portfolio of satisfiability problems from SATLIB illustrating these tradeoffs are presented.
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Controlled Pool Maintenance for Metaheuristicse focusing on controlled input and output operations. We analyze the main pool components for metaheuristics and present a review of the literature on relevant strategies in tabu search, scatter search, and path relinking. Additionally, we provide a synthesis of the literature that highlights the critical aspects of effective pool maintenance.
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Scatter Search Methods for the Covering Tour Problem every vertex not in the cycle lies within a given distance from at least one node in the cycle. Being a generalization of the TSP, CTP is NP-hard. This paper presents three original Scatter Search heuristic algorithms for the CTP. Computational results are reported.
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