Exploitation Linkage Learning Evolutionary (20 results)

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  • Language: English

    Published by Springer, 2012

    3642263275 / 9783642263279

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  • Language: English

    Published by Springer, 2010

    3642128335 / 9783642128332

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  • Language: English

    Published by Springer, 2012

    3642263275 / 9783642263279

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    Condition: New. pp. 256.

  • Language: English

    Published by Springer Verlag, 2012

    3642263275 / 9783642263279

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    Paperback. Condition: Brand New. 2010 edition. 256 pages. 9.20x6.10x0.61 inches. In Stock.

  • Language: English

    Published by Springer, Berlin, 2010

    3642128335 / 9783642128332

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    Hardcover. Condition: Brand New. 265 pages. 9.50x6.50x0.75 inches. In Stock.

  • Language: English

    Published by Springer, 2012

    3642263275 / 9783642263279

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    Taschenbuch. Condition: Neu. Exploitation of Linkage Learning in Evolutionary Algorithms | Ying-Ping Chen | Taschenbuch | Adaptation, Learning, and Optimization | x | Englisch | 2012 | Springer | EAN 9783642263279 | 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, 2012

    3642263275 / 9783642263279

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.

  • Language: English

    Published by Springer, 2010

    3642128335 / 9783642128332

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.

  • Language: English

    Published by Springer Spektrum, 2010

    3642128335 / 9783642128332

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    Condition: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.

  • Language: English

    Published by Springer, 2012

    3642263275 / 9783642263279

    • Softcover

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  • Language: English

    Published by Springer, 2010

    3642128335 / 9783642128332

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  • Language: English

    Published by Springer, 2012

    3642263275 / 9783642263279

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  • Language: English

    Published by Springer Berlin Heidelberg Jun 2012, 2012

    3642263275 / 9783642263279

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues. 256 pp. Englisch.

  • Language: English

    Published by Springer Berlin Heidelberg Mai 2010, 2010

    3642128335 / 9783642128332

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    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 -One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues. 256 pp. Englisch.

  • Language: English

    Published by Springer, 2012

    3642263275 / 9783642263279

    • Softcover
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  • Language: English

    Published by Springer Berlin Heidelberg, 2012

    3642263275 / 9783642263279

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The recent progress of linkage learningDemonstrates a new connection between optimization methodologies and natural evolution mechanismsWritten by experts in the fieldOne major branch of enhancing the performance of evolutiona.

  • Language: English

    Published by Springer Berlin Heidelberg, 2010

    3642128335 / 9783642128332

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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The recent progress of linkage learningDemonstrates a new connection between optimization methodologies and natural evolution mechanismsWritten by experts in the fieldOne major branch of enhancing the performance of evolutiona.

  • Language: English

    Published by Springer, 2012

    3642263275 / 9783642263279

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    Condition: New. PRINT ON DEMAND pp. 256.

  • Language: English

    Published by Springer, Springer Vieweg Jun 2012, 2012

    3642263275 / 9783642263279

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 256 pp. Englisch.

  • Language: English

    Published by Springer, Springer Vieweg Mai 2010, 2010

    3642128335 / 9783642128332

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 256 pp. Englisch.