Overview
- Authors:
- Erik Cuevas
Universidad de Guadalajara, CUCEI, Guadalajara, Mexico
You can also search for this author inPubMed Google Scholar
- Valentín Osuna
Universidad de Guadalajara, CUTONALA Universidad de Guadalajara, Tonalá Jalisco, Mexico
You can also search for this author inPubMed Google Scholar
- Diego Oliva
Universidad de Guadalajara, CUCEI, Guadalajara, Mexico
You can also search for this author inPubMed Google Scholar
- 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)
8872Accesses
This is a preview of subscription content,log in via an institution to check access.
Access this book
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (10 chapters)
Front Matter
Pages i-xv
Authors and Affiliations
Universidad de Guadalajara, CUCEI, Guadalajara, Mexico
Erik Cuevas, Diego Oliva
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