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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: California Books, Miami, FL, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,13
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Stephen White Books, Bradford, Regno Unito
EUR 94,17
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Aggiungi al carrellohardcover. Condizione: Good. NOT an ex-library book. Clean copy in good condition. Quick dispatch from UK seller.
Condizione: New. pp. 178.
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 129,74
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 129,73
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Aggiungi al carrelloCondizione: New.
Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 303013184X ISBN 13: 9783030131845
Da: Revaluation Books, Exeter, Regno Unito
EUR 150,17
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 180 pages. 9.25x6.10x0.38 inches. In Stock.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 164 pages. 9.25x6.25x0.50 inches. In Stock.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Condizione: New.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 303013184X ISBN 13: 9783030131845
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 3030015475 ISBN 13: 9783030015473
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: 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.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 86,36
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 94,01
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
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Da: Majestic Books, Hounslow, Regno Unito
EUR 120,86
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