9783540782940 - hybrid metaheuristics: an emerging approach to optimization (studies in computational intelligence, 114, band 114) (6 Ergebnisse)

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  • Sprache: Spanisch

    Verlag: Springer, 2008

    354078294X / 9783540782940

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    Zustand: Good. : Este libro explora el campo de las metaheurísticas híbridas, un enfoque emergente en la optimización. Editado por Christian Blum y otros, presenta estrategias para combinar diferentes técnicas de optimización para resolver problemas complejos. Incluye referencias bibliográficas y forma parte de la serie 'Studies in Computational Intelligence'. EAN: 9783540782940 Tipo: Libros Categoría: Tecnología Título: Hybrid metaheuristics Autor: Christian Blum Editorial: Springer Idioma: eng Páginas: 289.

  • Sprache: Englisch

    Verlag: Springer, 2008

    354078294X / 9783540782940

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    Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

  • Sprache: Englisch

    Verlag: Springer, 2008

    354078294X / 9783540782940

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    Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

  • Sprache: Englisch

    Verlag: Springer, 2008

    354078294X / 9783540782940

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    Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

  • Sprache: Englisch

    Verlag: Springer, 2008

    354078294X / 9783540782940

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  • Sprache: Englisch

    Verlag: Springer, Springer, 2008

    354078294X / 9783540782940

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.