Evolutionary Computation Techniques: A Comparative Perspective

Cuevas, Erik; Osuna, Valentin; Oliva, Diego Alberto

ISBN 10: 3319511084 / ISBN 13: 9783319511085

Published by Springer International Publishing AG, 2017

Series: Studies in Computational Intelligence. Num Pages: 222 pages, 41 black & white illustrations, 33 colour illustrations, biography. BIC Classification: UMB; UYA; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 526. . 2017. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9783319511085

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.

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.

Bibliographic Details

Title: Evolutionary Computation Techniques: A ...
Publisher: Springer International Publishing AG
Publication Date: 2017
Binding: Hardcover
Condition: New