9783030580995 - metaheuristic computation: a performance perspective: 195 di cuevas, erik; diaz, primitivo; camarena, octavio (14 risultati)
Lingua: Inglese
Editore: Springer 2020
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Condizione: New. pp. XIV, 269 93 illus., 31 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Metaheuristic Computation: A Performance Perspective
Cuevas, Erik (Author)/ Diaz, Primitivo (Author)/ Camarena, Octavio (Author)
Lingua: Inglese
Editore: Springer 2021
Serie: Intelligent Systems Reference Library, Libro 162 di 188. Libro 162 di 188 - Intelligent Systems Reference Library
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 283 pages. 9.25x6.10x0.83 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing 2020
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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.
Lingua: Inglese
Editore: Springer 2020
Serie: Intelligent Systems Reference Library, Libro 162 di 188. Libro 162 di 188 - Intelligent Systems Reference Library
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Okt 2020 2020
Serie: Intelligent Systems Reference Library, Libro 162 di 188. Libro 162 di 188 - Intelligent Systems Reference Library
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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 -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 applica…tions; 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.
Lingua: Inglese
Editore: Springer International Publishing 2020
Serie: Intelligent Systems Reference Library, Libro 162 di 188. Libro 162 di 188 - Intelligent Systems Reference Library
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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the performance comparison of various metaheuristic techniques when they face complex optimization problemsParticularly focuses on recently developed algorithmsThis book is designed so that each chapter can…be read independently.
Lingua: Inglese
Editore: Springer 2020
Serie: Intelligent Systems Reference Library, Libro 162 di 188. Libro 162 di 188 - Intelligent Systems Reference Library
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. XIV, 269 93 illus., 31 illus. in color.
Lingua: Inglese
Editore: Springer 2020
Serie: Intelligent Systems Reference Library, Libro 162 di 188. Libro 162 di 188 - Intelligent Systems Reference Library
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. XIV, 269 93 illus., 31 illus. in color.
Lingua: Inglese
Editore: Springer, Springer Okt 2020 2020
Serie: Intelligent Systems Reference Library, Libro 162 di 188. Libro 162 di 188 - Intelligent Systems Reference Library
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: 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 application…s; 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.
