Metaheuristic Computation Performance Perspective by Cuevas Erik (24 results)
Language: English
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Series: Book 162 of 188 - Intelligent Systems Reference Library
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Language: English
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Language: English
Published by Springer, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Language: English
Published by Springer, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Published by Springer, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Taschenbuch. Condition: 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.
Metaheuristic Computation: A Performance Perspective
Cuevas, Erik (Author)/ Diaz, Primitivo (Author)/ Camarena, Octavio (Author)
Language: English
Published by Springer, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Language: English
Published by Springer International Publishing, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Softcover
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Taschenbuch. Condition: 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; how…ever, 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.
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Language: English
Published by Springer International Publishing, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Buch. Condition: 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, f…or 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.
Language: English
Published by Springer, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Softcover
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Hardcover
- Print on Demand
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Language: English
Published by Springer International Publishing Okt 2021, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Softcover
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Taschenbuch. Condition: 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 a…pplications; 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.
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Language: English
Published by Springer International Publishing Okt 2020, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Hardcover
- Print on Demand
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 -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 applicat…ions; 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.
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Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Softcover
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Seller: moluna, Greven, Germanymoluna
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Condition: 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-kno…wn behaviors, without considering the ap.
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Language: English
Published by Springer International Publishing, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Hardcover
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Condition: 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 b…e read independently.
Language: English
Published by Springer, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Language: English
Published by Springer, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Condition: New. Print on Demand pp. XIV, 269 93 illus., 31 illus. in color.
Language: English
Published by Springer, 2021
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Springer, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. XIV, 269 93 illus., 31 illus. in color.
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Language: English
Published by Springer, Springer Okt 2021, 2021
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Taschenbuch. Condition: 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 appli…cations; 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.
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Language: English
Published by Springer, Springer Okt 2020, 2020
Series: Book 162 of 188 - Intelligent Systems Reference Library
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 94.44
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Buch. Condition: 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.
