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Evolutionary Computation Techniques: A Comparative Perspective: 686 (Studies in Computational Intelligence, 686) - Hardcover

Book 195 of 538: Studies in Computational Intelligence

Cuevas, Erik; Osuna, Valentín; Oliva, Diego

 
9783319511085: Evolutionary Computation Techniques: A Comparative Perspective: 686 (Studies in Computational Intelligence, 686)
Hardcover
ISBN 10: 3319511084 ISBN 13: 9783319511085
Publisher: Springer, 2017

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2017
Language
English
ISBN 10 
3319511084
ISBN 13 
9783319511085
Binding
Hardcover
Edition number
1
Number of pages
237