Evolutionary Computation Techniques: A Comparative Perspective: 686 - Brossura

Libro 195 di 538: Studies in Computational Intelligence

Cuevas, Erik; Osuna, Valentín; Oliva, Diego

 
9783319845685: Evolutionary Computation Techniques: A Comparative Perspective: 686
Brossura
ISBN 10: 3319845683 ISBN 13: 9783319845685
Casa editrice: Springer, 2018

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
3319845683
ISBN 13 
9783319845685
Rilegatura
Copertina flessibile
Numero di pagine
240
Contatto del produttore
non disponibile
Persona responsabile
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Altre edizioni note dello stesso titolo

9783319511085: Evolutionary Computation Techniques: A Comparative Perspective: 686

Edizione in evidenza

ISBN 10:  3319511084 ISBN 13:  9783319511085
Casa editrice: Springer-Verlag New York Inc, 2017
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