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Evolutionary Multi Objective Optimization Uncertain by Goh Chi Keong (17 results)
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Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms (Studies in Computational Intelligence, 186)
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Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms (Studies in Computational Intelligence, 186)
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Evolutionary Multi-objective Optimization in Uncertain Environments : Issues and Algorithms
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3540959750 ISBN 13: 9783540959755
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. 'Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms' is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties.
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Evolutionary Multi-objective Optimization in Uncertain Environments
Published by Berlin Springer Berlin Heidelberg Springer Mrz 2009, 2009
ISBN 10: 3540959750 ISBN 13: 9783540959755
Language: English
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. 'Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms' is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties. 271 pp. Englisch.
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Evolutionary Multi-objective Optimization in Uncertain Environments
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642101135 ISBN 13: 9783642101137
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent results in Evolutionary Multi-objective Optimization in Uncertain EnvironmentsEvolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-.
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Evolutionary Multi-objective Optimization in Uncertain Environments
Published by Springer Berlin Heidelberg, 2009
ISBN 10: 3540959750 ISBN 13: 9783540959755
Language: English
US$ 111.19
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent results in Evolutionary Multi-objective Optimization in Uncertain EnvironmentsEvolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-.
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Add to basketBuch. Condition: Neu. Evolutionary Multi-objective Optimization in Uncertain Environments | Issues and Algorithms | Chi-Keong Goh (u. a.) | Buch | xi | Englisch | 2009 | Springer | EAN 9783540959755 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
