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Synopsis
Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated:
- Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines.
- Demonstrating the practical use of the suggested road map.
- Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications.
- Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain.
- Opening an important track for multiobjective GEA research that relies on decomposition principle.
This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence, 18)
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Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence, 18)
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Advances in Evolutionary Algorithms
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Springer Berlin Heidelberg Nov 2010, 2010
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. 188 pp. Englisch. N° de réf. du vendeur 9783642068607
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Advances in Evolutionary Algorithms
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Springer Berlin Heidelberg, 2010
ISBN 10 : 364206860X
ISBN 13 : 9783642068607
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent advances in evolutionary AlgorithmsGenetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms . N° de réf. du vendeur 5045949
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Advances in Evolutionary Algorithms
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10 : 364206860X
ISBN 13 : 9783642068607
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated:Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines.Demonstrating the practical use of the suggested road map.Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications.Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain.Opening an important track for multiobjective GEA research that relies on decomposition principle.This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch. N° de réf. du vendeur 9783642068607
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Advances in Evolutionary Algorithms : Theory, Design and Practice
Edité par
Springer Berlin Heidelberg, 2010
ISBN 10 : 364206860X
ISBN 13 : 9783642068607
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated: Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines. Demonstrating the practical use of the suggested road map. Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications. Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain. Opening an important track for multiobjective GEA research that relies on decomposition principle. This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation. N° de réf. du vendeur 9783642068607
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Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence, 18)
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Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence)
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