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Advances in Musculoskeletal Imaging and Their Applications
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Advances in Musculoskeletal Imaging and Their Applications
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Advances in Musculoskeletal Imaging and Their Applications
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Stable Mutations for Evolutionary Algorithms (Studies in Computational Intelligence, 797)
Book 305 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Stable Mutations for Evolutionary Algorithms (Studies in Computational Intelligence)
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Stable Mutations for Evolutionary Algorithms
Book 305 of 538: Studies in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Stable Mutations For Evolutionary Algori
Book 305 of 538: Studies in Computational IntelligenceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Stable Mutations For Evolutionary Algor
Book 305 of 538: Studies in Computational IntelligenceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Stable Mutations for Evolutionary Algorithms
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Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Stable Mutations for Evolutionary Algorithms
Book 305 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 303013184X ISBN 13: 9783030131845
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Add to basketPaperback. Condition: Brand New. reprint edition. 180 pages. 9.25x6.10x0.38 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 164 pages. 9.25x6.25x0.50 inches. In Stock.
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Taschenbuch. Condition: Neu. Stable Mutations for Evolutionary Algorithms | Andrzej Obuchowicz | Taschenbuch | xiv | Englisch | 2019 | Springer | EAN 9783030131845 | 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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Stable Mutations for Evolutionary Algorithms
Book 305 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 303013184X ISBN 13: 9783030131845
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a set of theoretical and experimental results that describe the features of the wide family of -stable distributions (the normal distribution also belongs to this class) and their various applications in the mutation operator of evolutionary algorithms based on real-number representation of the individuals, and, above all, equip these algorithms with features that enrich their effectiveness in solving multi-modal, multi-dimensional global optimization problems. The overall conclusion of the research presented is that the appropriate choice of probabilistic model of the mutation operator for an optimization problem is crucial.Mutation is one of the most important operations in stochastic global optimization algorithms in the n-dimensional real space. It determines the method of search space exploration and exploitation. Most applications of these algorithms employ the normal mutation as a mutation operator. This choice is justified by the central limit theorem but is associated with a set of important limitations. Application of -stable distributions allows more flexible evolutionary models to be obtained than those with the normal distribution. The book presents theoretical analysis and simulation experiments, which were selected and constructed to expose the most important features of the examined mutation techniques based on -stable distributions. It allows readers to develop a deeper understanding of evolutionary processes with stable mutations and encourages them to apply these techniques to real-world engineering problems.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a set of theoretical and experimental results that describe the features of the wide family of -stable distributions (the normal distribution also belongs to this class) and their various applications in the mutation operator of evolutionary algorithms based on real-number representation of the individuals, and, above all, equip these algorithms with features that enrich their effectiveness in solving multi-modal, multi-dimensional global optimization problems. The overall conclusion of the research presented is that the appropriate choice of probabilistic model of the mutation operator for an optimization problem is crucial.Mutation is one of the most important operations in stochastic global optimization algorithms in the n-dimensional real space. It determines the method of search space exploration and exploitation. Most applications of these algorithms employ the normal mutation as a mutation operator. This choice is justified by the central limit theorem but is associated with a set of important limitations. Application of -stable distributions allows more flexible evolutionary models to be obtained than those with the normal distribution. The book presents theoretical analysis and simulation experiments, which were selected and constructed to expose the most important features of the examined mutation techniques based on -stable distributions. It allows readers to develop a deeper understanding of evolutionary processes with stable mutations and encourages them to apply these techniques to real-world engineering problems.
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Advances in Musculoskeletal Imaging and Their Applications
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Stable Mutations for Evolutionary Algorithms
Book 305 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing Dez 2019, 2019
ISBN 10: 303013184X ISBN 13: 9783030131845
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 -This book presents a set of theoretical and experimental results that describe the features of the wide family of -stable distributions (the normal distribution also belongs to this class) and their various applications in the mutation operator of evolutionary algorithms based on real-number representation of the individuals, and, above all, equip these algorithms with features that enrich their effectiveness in solving multi-modal, multi-dimensional global optimization problems. The overall conclusion of the research presented is that the appropriate choice of probabilistic model of the mutation operator for an optimization problem is crucial.Mutation is one of the most important operations in stochastic global optimization algorithms in the n-dimensional real space. It determines the method of search space exploration and exploitation. Most applications of these algorithms employ the normal mutation as a mutation operator. This choice is justified by the central limit theorem but is associated with a set of important limitations. Application of -stable distributions allows more flexible evolutionary models to be obtained than those with the normal distribution. The book presents theoretical analysis and simulation experiments, which were selected and constructed to expose the most important features of the examined mutation techniques based on -stable distributions. It allows readers to develop a deeper understanding of evolutionary processes with stable mutations and encourages them to apply these techniques to real-world engineering problems. 180 pp. Englisch.
