Advances of Evolutionary Computation: Methods and Operators

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

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 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.

216 pages, Hardcover

Published February 8, 2016

About the author

Departamento de Electrónica, CUCEI, Universidad de Guadalajara, Guadalajara, Mexico