ISBN: 9783642128332 - exploitation of linkage learning in evolutionary algorithms: 3 (9 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2010

    3642128335 / 9783642128332

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  • Lingua: Inglese

    Editore: Springer, 2010

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  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, 2010

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    Condizione: New. 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.

  • Lingua: Inglese

    Editore: Springer, 2010

    3642128335 / 9783642128332

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    Buch. Condizione: 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.…

  • Lingua: Inglese

    Editore: Springer, Berlin, 2010

    3642128335 / 9783642128332

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

  • Lingua: Inglese

    Editore: Springer Spektrum, 2010

    3642128335 / 9783642128332

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    Condizione: 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.…

  • Lingua: Inglese

    Editore: Springer, 2010

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  • Lingua: Inglese

    Editore: Springer Mai 2010, 2010

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: 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.…

  • Lingua: Inglese

    Editore: Springer, Springer Vieweg Mai 2010, 2010

    3642128335 / 9783642128332

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    Buch. Condizione: 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.…