Adaptation and Hybridization in Computational Intelligence
. Ed(s): Fister, Iztok
ISBN 10: 3319359053 ISBN 13: 9783319359052
Edité par Springer International Publishing AG, 2016
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Couverture souple
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A propos de cet article
Description :
Editor(s): Fister, Iztok. Series: Adaptation, Learning, and Optimization. Num Pages: 247 pages, 41 black & white illustrations, 1 colour illustrations, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 385. . 2016. Softcover reprint of the original 1st ed. 2015. Paperback. . . . . N° de réf. du vendeur V9783319359052
Synopsis :
This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI.
This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence -based algorithms.
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Détails bibliographiques
Titre : Adaptation and Hybridization in ...
Éditeur : Springer International Publishing AG
Date d'édition : 2016
Reliure : Couverture souple
Etat : New
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