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Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence, 18) - Hardcover

 
9783540317586: Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence, 18)

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

  • PublisherSpringer
  • Publication date2006
  • ISBN 10 3540317589
  • ISBN 13 9783540317586
  • BindingHardcover
  • LanguageEnglish
  • Number of pages188

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Buch. Condition: 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. Seller Inventory # 9783540317586

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Buch. Condition: 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. Seller Inventory # 9783540317586

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Buch. Condition: Neu. 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. Seller Inventory # 9783540317586

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