Isbn: 9783030581022 - metaheuristic computation: a performance perspective: 195 (intelligent systems reference library) (10 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    Condición: New. In English.

  • Idioma: Inglés

    Editorial: Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

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    Idioma: Inglés

    Editorial: Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Taschenbuch. Condición: Neu. Metaheuristic Computation: A Performance Perspective | Erik Cuevas (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xiv | Englisch | 2021 | Springer | EAN 9783030581022 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.

  • Idioma: Inglés

    Editorial: Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer International Publishing Okt 2021, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective. 284 pp. Englisch.

  • Idioma: Inglés

    Editorial: Springer, Berlin|Springer International Publishing|Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: moluna, Greven, Alemaniamoluna

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    Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the ap.

  • Idioma: Inglés

    Editorial: Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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  • Idioma: Inglés

    Editorial: Springer, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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  • Idioma: Inglés

    Editorial: Springer, Springer Okt 2021, 2021

    3030581020 / 9783030581022

    Serie: Libro 162 de 188 - Intelligent Systems Reference Library

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.