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Published by Springer International Publishing, 2018
ISBN 10: 3319845683 ISBN 13: 9783319845685
Language: English
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Taschenbuch. Condition: Neu. Evolutionary Computation Techniques: A Comparative Perspective | Erik Cuevas (u. a.) | Taschenbuch | xv | Englisch | 2018 | Springer International Publishing | EAN 9783319845685 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Published by Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10: 3319845683 ISBN 13: 9783319845685
Language: English
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Published by Springer International Publishing, Springer International Publishing Jan 2017, 2017
ISBN 10: 3319511084 ISBN 13: 9783319511085
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. Neuware -This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: 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. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319845683 ISBN 13: 9783319845685
Language: English
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: 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. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.
Published by Springer International Publishing, 2017
ISBN 10: 3319511084 ISBN 13: 9783319511085
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: 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. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.
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Published by Springer International Publishing Jul 2018, 2018
ISBN 10: 3319845683 ISBN 13: 9783319845685
Language: English
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: 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. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods. 240 pp. Englisch.
Published by Springer International Publishing Jan 2017, 2017
ISBN 10: 3319511084 ISBN 13: 9783319511085
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: 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. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods. 240 pp. Englisch.
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Published by Springer International Publishing, 2018
ISBN 10: 3319845683 ISBN 13: 9783319845685
Language: English
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Compares various evolutionary computation (EC) techniques when they face complex optimization problems extracted from different engineering domains Poses a complex engineering optimization problem in each self-contained chapter Pr.
Published by Springer International Publishing, 2017
ISBN 10: 3319511084 ISBN 13: 9783319511085
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Compares various evolutionary computation (EC) techniques when they face complex optimization problems extracted from different engineering domains Poses a complex engineering optimization problem in each self-contained chapter Pr.
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Published by Springer International Publishing, 2017
ISBN 10: 3319511084 ISBN 13: 9783319511085
Language: English
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Evolutionary Computation Techniques: A Comparative Perspective | Erik Cuevas (u. a.) | Buch | xv | Englisch | 2017 | Springer International Publishing | EAN 9783319511085 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.