Authors:
- 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
- Presents specific EC techniques as the best choice according to their search characteristics and conducts a set of experiments to compare their performance to other popular EC methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 686)
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Table of contents (10 chapters)
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Front Matter
About this book
Authors and Affiliations
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Universidad de Guadalajara, CUCEI, Guadalajara, Mexico
Erik Cuevas, Diego Oliva
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Universidad de Guadalajara, CUTONALA Universidad de Guadalajara, Tonalá Jalisco, Mexico
Valentín Osuna
Bibliographic Information
Book Title: Evolutionary Computation Techniques: A Comparative Perspective
Authors: Erik Cuevas, Valentín Osuna, Diego Oliva
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-51109-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-51108-5Published: 07 January 2017
Softcover ISBN: 978-3-319-84568-5Published: 07 July 2018
eBook ISBN: 978-3-319-51109-2Published: 28 December 2016
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 222
Number of Illustrations: 41 b/w illustrations, 33 illustrations in colour