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Designing Evolutionary Algorithms Dynamic by Morrison Ronald (27 results)
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Condition: New.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. pp. 168.
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Designing Evolutionary Algorithms for Dynamic Environments (Natural Computing Series)
Language: English
Published by Springer Berlin Heidelberg 2010-02-19, 2010
ISBN 10: 364205952X ISBN 13: 9783642059520
US$ 65.47
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Ships from United Kingdom to U.S.A.Quantity: 10 available
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Condition: New. pp. 164.
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Condition: New. pp. 168.
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Designing Evolutionary Algorithms For Dynamic Environments
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 74.30
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Designing Evolutionary Algorithms For Dynamic Environments
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 76.72
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Designing Evolutionary Algorithms for Dynamic Environments (Natural Computing Series)
Seller: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Germany
Seller rating 5 out of 5 stars
2004. 161 p. New! -- Neu und originalverschweißt! 9783540212317 Sprache: Englisch Gewicht in Gramm: 386 Hardcover: 23.4 x 1.1 x 15.6 cm.
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Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2004, 2004
ISBN 10: 3540212310 ISBN 13: 9783540212317
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre viously unknown relationships between performance and diversity that may lead to general methods for improving EAs in dynamic environments. Along the way, several other important design issues are addressed involving com putational efficiency, performance measurement, and the testing of EAs in dynamic environments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
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Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 364205952X ISBN 13: 9783642059520
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre viously unknown relationships between performance and diversity that may lead to general methods for improving EAs in dynamic environments. Along the way, several other important design issues are addressed involving com putational efficiency, performance measurement, and the testing of EAs in dynamic environments.
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Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg, 2004
ISBN 10: 3540212310 ISBN 13: 9783540212317
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre viously unknown relationships between performance and diversity that may lead to general methods for improving EAs in dynamic environments. Along the way, several other important design issues are addressed involving com putational efficiency, performance measurement, and the testing of EAs in dynamic environments.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Taschenbuch. Condition: Neu. Designing Evolutionary Algorithms for Dynamic Environments | Ronald W. Morrison | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9783642059520 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. pp. 168 Illus. This item is printed on demand.
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Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg Dez 2010, 2010
ISBN 10: 364205952X ISBN 13: 9783642059520
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Detailsrobustness, stability, and performance of Evolutionary Algorithms in dynamic environments 164 pp. Englisch.
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Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg Jun 2004, 2004
ISBN 10: 3540212310 ISBN 13: 9783540212317
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Detailsrobustness, stability, and performance of Evolutionary Algorithms in dynamic environments 164 pp. Englisch.
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Condition: New. Print on Demand pp. 164 78 Illus.
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Condition: New. PRINT ON DEMAND pp. 164.
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Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 364205952X ISBN 13: 9783642059520
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book focusing on robustness, stability, and performance of EAs in dynamic environmentsDr. Morrison has been at Mitretek Systems for four years as a Senior Manager and Fellow. He currently serves as an advisor to U.S. government offic.
-
Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg, 2004
ISBN 10: 3540212310 ISBN 13: 9783540212317
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book focusing on robustness, stability, and performance of EAs in dynamic environmentsDr. Morrison has been at Mitretek Systems for four years as a Senior Manager and Fellow. He currently serves as an advisor to U.S. government offic.
-
Designing Evolutionary Algorithms for Dynamic Environments
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2010, 2010
ISBN 10: 364205952X ISBN 13: 9783642059520
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre viously unknown relationships between performance and diversity that may lead to general methods for improving EAs in dynamic environments. Along the way, several other important design issues are addressed involving com putational efficiency, performance measurement, and the testing of EAs in dynamic environments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
