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Advances of evolutionary computation...

Cuevas, Erik.

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Advances of evolutionary computation = methods and operators /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances of evolutionary computation/ by Erik Cuevas, Margarita Arimatea Diaz Cortes, Diego Alberto Oliva Navarro.
Reminder of title:	methods and operators /
Author:	Cuevas, Erik.
other author:	Diaz Cortes, Margarita Arimatea.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xiv, 202 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Evolutionary computation. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28503-0
ISBN:	9783319285030$q(electronic bk.)

Advances of evolutionary computation = methods and operators /
Cuevas, Erik.

Advances of evolutionary computationmethods and operators /[electronic resource] :by Erik Cuevas, Margarita Arimatea Diaz Cortes, Diego Alberto Oliva Navarro. - Cham :Springer International Publishing :2016. - xiv, 202 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6291860-949X ;. - Studies in computational intelligence ;v.379..

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.

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.

ISBN: 9783319285030$q(electronic bk.)

Standard No.: 10.1007/978-3-319-28503-0doiSubjects--Topical Terms:

582189
Evolutionary computation.

LC Class. No.: QA76.618

Dewey Class. No.: 006.3823

Advances of evolutionary computation = methods and operators /
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100 1 $a Cuevas, Erik. $3 2180030
245 1 0 $a Advances of evolutionary computation $h [electronic resource] : $b methods and operators / $c by Erik Cuevas, Margarita Arimatea Diaz Cortes, Diego Alberto Oliva Navarro.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xiv, 202 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.629
505 0 $a 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.
520 $a 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.
650 0 $a Evolutionary computation. $3 582189
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Diaz Cortes, Margarita Arimatea. $3 2181859
700 1 $a Oliva Navarro, Diego Alberto. $3 2181860
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.379. $3 1565969
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28503-0
950 $a Engineering (Springer-11647)