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Ajouter au panierHardcover. Etat : Very Good. Hardcover shows only light edge wear. Text appears unmarked and binding is tight. Ships FAST!
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Ajouter au panierEtat : New. In.
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Ajouter au panierEtat : New. In.
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierGebunden. Etat : New. 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 wider and more problem-solving powerAdvances for New M.
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Ajouter au panierTaschenbuch. Etat : Neu. Metaheuristic Optimization Via Memory and Evolution | Tabu Search and Scatter Search | Cesar Rego (u. a.) | Taschenbuch | xiv | Englisch | 2010 | Springer Us | EAN 9781441954831 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. Neuware - 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.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Langue: anglais
Edité par SPRINGER NATURE Dez 2010, 2010
ISBN 10 : 144195483X ISBN 13 : 9781441954831
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 466 pp. Englisch.
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 wider and more problem-solving powerAdvances for New M.