This book is a PhD dissertation which focuses on the study, design, development and application of centralised cooperative strategies for optimisation problems. These models consist of a set of parallel cooperating agents, where each agent carries out a search in a solution space sharing information with the rest of the agents. Many studies have shown that this cooperation leads to more efficient and effective strategies. The authors start describing the most known trajectory and population-based metaheuristics and introduce the cooperative strategies. The core of this book is devoted to the following topics: analysis of the composition and the cooperation scheme, hybridization with Reactive Search ideas, application of centralised cooperative strategies to Dynamic Optimisation Problems and resolution of sets of instances by a cooperative method. The book is addressed to students or researchers in the fields of Intelligent Systems, Soft Computing, Optimisation Techniques and, especially, Hybrid Metaheuristics.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Antonio D. Masegosa was born in Cúllar, Granada, Spain. He received his degree in Computer Engineering in 2005 and his PhD degree in Computer Sciences in 2010 from the School of Computer and Telecommunications Engineering, University of Granada, Spain. His research interest includes Intelligent Systems, Soft Computing and Cooperative Strategies.
Antonio D. Masegosa was born in Cúllar, Granada, Spain. He received his degree in Computer Engineering in 2005 and his PhD degree in Computer Sciences in 2010 from the School of Computer and Telecommunications Engineering, University of Granada, Spain. His research interest includes Intelligent Systems, Soft Computing and Cooperative Strategies.
Antonio D. Masegosa was born in Cúllar, Granada, Spain. He received his degree in Computer Engineering in 2005 and his PhD degree in Computer Sciences in 2010 from the School of Computer and Telecommunications Engineering, University of Granada, Spain. His research interest includes Intelligent Systems, Soft Computing and Cooperative Strategies.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a PhD dissertation which focuses on the study, design, development and application of centralised cooperative strategies for optimisation problems. These models consist of a set of parallel cooperating agents, where each agent carries out a search in a solution space sharing information with the rest of the agents. Many studies have shown that this cooperation leads to more efficient and effective strategies. The authors start describing the most known trajectory and population-based metaheuristics and introduce the cooperative strategies. The core of this book is devoted to the following topics: analysis of the composition and the cooperation scheme, hybridization with Reactive Search ideas, application of centralised cooperative strategies to Dynamic Optimisation Problems and resolution of sets of instances by a cooperative method. The book is addressed to students or researchers in the fields of Intelligent Systems, Soft Computing, Optimisation Techniques and, especially, Hybrid Metaheuristics. 220 pp. Englisch. N° de réf. du vendeur 9783844324587
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Taschenbuch. Etat : Neu. Cooperative Methods in Optimisation | Analysis and Results | Antonio D. Masegosa (u. a.) | Taschenbuch | 220 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844324587 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107021635
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a PhD dissertation which focuses on the study, design, development and application of centralised cooperative strategies for optimisation problems. These models consist of a set of parallel cooperating agents, where each agent carries out a search in a solution space sharing information with the rest of the agents. Many studies have shown that this cooperation leads to more efficient and effective strategies. The authors start describing the most known trajectory and population-based metaheuristics and introduce the cooperative strategies. The core of this book is devoted to the following topics: analysis of the composition and the cooperation scheme, hybridization with Reactive Search ideas, application of centralised cooperative strategies to Dynamic Optimisation Problems and resolution of sets of instances by a cooperative method. The book is addressed to students or researchers in the fields of Intelligent Systems, Soft Computing, Optimisation Techniques and, especially, Hybrid Metaheuristics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 220 pp. Englisch. N° de réf. du vendeur 9783844324587
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a PhD dissertation which focuses on the study, design, development and application of centralised cooperative strategies for optimisation problems. These models consist of a set of parallel cooperating agents, where each agent carries out a search in a solution space sharing information with the rest of the agents. Many studies have shown that this cooperation leads to more efficient and effective strategies. The authors start describing the most known trajectory and population-based metaheuristics and introduce the cooperative strategies. The core of this book is devoted to the following topics: analysis of the composition and the cooperation scheme, hybridization with Reactive Search ideas, application of centralised cooperative strategies to Dynamic Optimisation Problems and resolution of sets of instances by a cooperative method. The book is addressed to students or researchers in the fields of Intelligent Systems, Soft Computing, Optimisation Techniques and, especially, Hybrid Metaheuristics. N° de réf. du vendeur 9783844324587
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