Cuevas, Erik. <br/><br/>
Advances of Evolutionary Computation: Methods and Operators  [electronic resource] / 
by Erik Cuevas, Margarita Arimatea D�iaz Cort�es, Diego Alberto Oliva Navarro. 
 - 1st ed. 2016. 
 - XIV, 202 p. 48 illus., 43 illus. in color.  online resource. 
 - Studies in Computational Intelligence,  629  1860-949X ; .
 - Studies in Computational Intelligence,  629 .
<br/><br/>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. . 
<br/><br/> 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 e&#xFB00;ective 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. 
<br/><br/><label>ISBN: </label>9783319285030 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-28503-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Artificial intelligence.<br/>Computational intelligence.<br/>Engineering.<br/>Computational Intelligence.<br/>Artificial Intelligence (incl. Robotics).
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3