Advances of Evolutionary Computation: Methods and Operators
Title:
Advances of Evolutionary Computation: Methods and Operators
Author:
Cuevas, Erik. author.
ISBN:
9783319285030
Personal Author:
Edition:
1st ed. 2016.
Physical Description:
XIV, 202 p. 48 illus., 5 illus. in color. online resource.
Series:
Studies in Computational Intelligence, 629
Contents:
Introduction -- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization -- An Algorithm for Global Optimization Inspired by Collective Animal Behavior -- A Bio-inspired Evolutionary Algorithm: Allostatic Optimization -- Optimization Based on the Behavior of Locust Swarms. .
Abstract:
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.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-319-28503-0