Studies in Computational Intelligence

Cuevas, Erik; Díaz Cortés, Margarita Arimatea; Oliva Navarro, Diego Alberto

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.

Details

Published by: Springer

Publication Date: 2016-02-08

Format: Hardcover

ISBN-13: 9783319285023

DOI: 10.1007/978-3-319-28503-0

Dimensions: 235cm x155cm

Pages: 202