Evolutionary Computation Techniques: A Comparative Perspective - Couverture rigide

Cuevas, Erik; Osuna, Valent�n; Oliva, Diego

9783319511085: Evolutionary Computation Techniques: A Comparative Perspective

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ISBN 10 : 3319511084 ISBN 13 : 9783319511085

Editeur : Springer International Publishing AG, 2017

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Preface.- Introduction.- Multilevel segmentation in digital images.- Multi-Circle detection on images.- Template matching.- Motion estimation.- Photovoltaic cell design.- Parameter identification of induction motors.- White blood cells Detection in images.- Estimation of view transformations in images.- Filter Design.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2017
Langue: anglais
ISBN 10: 3319511084
ISBN 13: 9783319511085
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Num�ro d'�dition: 1
Nombre de pages: 222
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Evolutionary Computation Techniques: A Comparative Perspective

Erik Cuevas, Diego Oliva, Valent�n Osuna

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319511084 ISBN 13 : 9783319511085

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Evolutionary Computation Techniques: A Comparative Perspective

Erik Cuevas|Valent�n Osuna|Diego Oliva

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319511084 ISBN 13 : 9783319511085

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Etat : 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&nbspPoses a complex engineering optimization problem in each self-contained chapter&nbspPr. N� de r�f. du vendeur 133628349

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Evolutionary Computation Techniques: A Comparative Perspective

Erik Cuevas

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319511084 ISBN 13 : 9783319511085

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Buch. Etat : 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. N� de r�f. du vendeur 9783319511085

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Evolutionary Computation Techniques: A Comparative Perspective

Erik Cuevas

Edit� par Springer International Publishing Jan 2017, 2017

ISBN 10 : 3319511084 ISBN 13 : 9783319511085

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Buch. Etat : 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. N� de r�f. du vendeur 9783319511085

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Evolutionary Computation Techniques: A Comparative Perspective

Erik Cuevas

Edit� par Springer International Publishing, Springer International Publishing Jan 2017, 2017

ISBN 10 : 3319511084 ISBN 13 : 9783319511085

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : 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. N� de r�f. du vendeur 9783319511085

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