ISBN: 9783642098765
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to c… Plus…
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ISBN: 9783642098765
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to c… Plus…
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ISBN: 9783642098765
Computer Science; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering; Artificial Intelligence (incl. Robotics) Bayesian network, Evolution, Evolu… Plus…
Springer.com This volume presents recent results in Linkage in Evolutionary Computation. For practitioners who are looking at putting into practice the concept of linkage, the few chapters on applications will serve as a useful guide. Frais d'envoizzgl. Versandkosten., Livraison non-comprise Details... |
ISBN: 9783642098765
Linkage in Evolutionary Computation Linkage-in-Evolutionary-Computation~~Ying-ping-Chen Science>Mathematics>Mathematics Paperback, Springer Berlin Heidelberg
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2010, ISBN: 9783642098765
Livres de poche, Edition reliée
[ED: 1], 1., Softcover reprint of hardcover 1st ed. 2008, Softcover, Buch, [PU: Springer Berlin]
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ISBN: 9783642098765
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to c… Plus…
ISBN: 9783642098765
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to c… Plus…
ISBN: 9783642098765
Computer Science; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering; Artificial Intelligence (incl. Robotics) Bayesian network, Evolution, Evolu… Plus…
ISBN: 9783642098765
Linkage in Evolutionary Computation Linkage-in-Evolutionary-Computation~~Ying-ping-Chen Science>Mathematics>Mathematics Paperback, Springer Berlin Heidelberg
2010, ISBN: 9783642098765
Livres de poche, Edition reliée
[ED: 1], 1., Softcover reprint of hardcover 1st ed. 2008, Softcover, Buch, [PU: Springer Berlin]
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Informations détaillées sur le livre - Linkage in Evolutionary Computation Ying-ping Chen Editor
EAN (ISBN-13): 9783642098765
ISBN (ISBN-10): 3642098762
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer Berlin Heidelberg Core >1 >T
500 Pages
Poids: 0,748 kg
Langue: eng/Englisch
Livre dans la base de données depuis 2011-11-09T00:35:58+01:00 (Zurich)
Page de détail modifiée en dernier sur 2020-09-03T23:58:50+02:00 (Zurich)
ISBN/EAN: 3642098762
ISBN - Autres types d'écriture:
3-642-09876-2, 978-3-642-09876-5
Autres types d'écriture et termes associés:
Auteur du livre: ping, chen
Titre du livre: chen ping
Données de l'éditeur
Auteur: Ying-ping Chen
Titre: Studies in Computational Intelligence; Linkage in Evolutionary Computation
Editeur: Springer; Springer Berlin
488 Pages
Date de parution: 2010-10-28
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XII, 488 p. 227 illus.
BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Computer-Aided Design (CAD); Verstehen; Bayesian network; Evolution; Evolutionary Computation; Linkage; Operator; algorithm; algorithms; calculus; cognition; evolutionary algorithm; genetic algorithms; learning; microelectromechanical system (MEMS); model; optimization; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering Applications; Artificial Intelligence; Mathematik für Ingenieure; Künstliche Intelligenz; BB; EA
Models and Theories.- Parallel Bivariate Marginal Distribution Algorithm with Probability Model Migration.- Linkages Detection in Histogram-Based Estimation of Distribution Algorithm.- Linkage in Island Models.- Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems.- Linkage Learning Accuracy in the Bayesian Optimization Algorithm.- The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks.- Linkage Learning in Estimation of Distribution Algorithms.- Operators and Frameworks.- Parallel GEAs with Linkage Analysis over Grid.- Identification and Exploitation of Linkage by Means of Alternative Splicing.- A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization.- Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms.- Symbiotic Evolution to Avoid Linkage Problem.- EpiSwarm, a Swarm-Based System for Investigating Genetic Epistasis.- Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models.- Applications.- Genetic Algorithms for the Airport Gate Assignment: Linkage, Representation and Uniform Crossover.- A Decomposed Approach for the Minimum Interference Frequency Assignment.- Set Representation and Multi-parent Learning within an Evolutionary Algorithm for Optimal Design of Trusses.- A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks.- Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis.Presents recent results in Linkage in Evolutionary Computation
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