Stable Mutations Evolutionary Algorithms by Obuchowicz Andrzej (28 results)
Language: English
Published by Springer 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
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Published by Springer 2019
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Published by Springer 2019
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Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
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Language: English
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Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
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Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
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Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer-Verlag New York Inc 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
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Paperback. Condition: Brand New. reprint edition. 180 pages. 9.25x6.10x0.38 inches. In Stock.
Language: English
Published by Springer 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
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Published by Springer 2019
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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.
Language: English
Published by Springer International Publishing 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
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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.
Language: English
Published by Springer 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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 evoluti…onary 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.
Language: English
Published by Springer 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer International Publishing Dez 2019 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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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 mutat…ion 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.
Language: English
Published by Springer International Publishing Okt 2018 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. 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 ope…rator 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.
Language: English
Published by Springer International Publishing 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Collects recent research on stable mutations for evolutionary algorithmsPresents theoretical analysis and simulation experiments, selected and constructed to expose the most important features of the examined mutation… techniques based on ?-stable .
Language: English
Published by Springer International Publishing 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Collects recent research on stable mutations for evolutionary algorithmsPresents theoretical analysis and simulation experiments, selected and constructed to expose the most important features of the examine…d mutation techniques based on ?-stable .
Language: English
Published by Springer 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
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Language: English
Published by Springer, Palgrave Macmillan Dez 2019 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch.
Language: English
Published by Springer 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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Condition: New. Print on Demand pp. 178.
Language: English
Published by Springer, Palgrave Macmillan Okt 2018 2018
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 operat…or 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch.
Language: English
Published by Springer 2019
Series: Studies in Computational Intelligence, Book 305 of 538. Book 305 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 178.
