Authors:
- Discusses recent advances and alternative developments in Evolutionary Computation
- Highlights nonconventional operators which prove to be effective in adapting a determined EC method to a specific problem
- Consists of self-contained chapters that can be read independently from the others
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 629)
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Table of contents (9 chapters)
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Front Matter
About this book
The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently from the others. The book contains nine chapters with the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO), 3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB) algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search (LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE) method, 8) the multimodal CAB, 9) the constrained SSO method.
Authors and Affiliations
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Departamento de Electrónica, CUCEI, Universidad de Guadalajara, Guadalajara, Mexico
Erik Cuevas
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Institut für Informatik, Freie Universität Berlin, Berlin, Germany
Margarita Arimatea Díaz Cortés
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Tecnológico de Monterrey, Campus Guadalajara, Zapopan, Mexico
Diego Alberto Oliva Navarro
Bibliographic Information
Book Title: Advances of Evolutionary Computation: Methods and Operators
Authors: Erik Cuevas, Margarita Arimatea Díaz Cortés, Diego Alberto Oliva Navarro
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-28503-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28502-3Published: 08 February 2016
Softcover ISBN: 978-3-319-80366-1Published: 31 March 2018
eBook ISBN: 978-3-319-28503-0Published: 20 January 2016
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 202
Number of Illustrations: 43 b/w illustrations, 5 illustrations in colour