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Title Advances of evolutionary computation : methods and operators / Erik Cuevas, Margarita Arimatea Díaz Cortés, Diego Alberto Oliva Navarro
Published Cham : Springer, 2016

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Description 1 online resource (xiv, 202 pages) : illustrations (some color)
Series Studies in Computational Intelligence, 1860-949X ; volume 629
Studies in computational intelligence ; v. 629. 1860-949X
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
Summary 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
Bibliography Includes bibliographical references
Notes English
Online resource; title from PDF title page (SpringerLink, viewed January 28, 2016)
Subject Evolutionary computation.
Artificial intelligence.
Computers -- Intelligence (AI) & Semantics.
Evolutionary computation
Form Electronic book
Author Cuevas, Erik, author
Díaz Cortés, Margarita Arimatea, author
Oliva Navarro, Diego Alberto, author
ISBN 9783319285030
3319285033
3319285025
9783319285023