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… Altro …
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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… Altro …
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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… Altro …
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. Costi di spedizione:zzgl. Versandkosten., Costi di spedizione aggiuntivi 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
edizione con copertina flessibile, edizione con copertina rigida
[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… Altro …
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… Altro …
ISBN: 9783642098765
Computer Science; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering; Artificial Intelligence (incl. Robotics) Bayesian network, Evolution, Evolu… Altro …
ISBN: 9783642098765
Linkage in Evolutionary Computation Linkage-in-Evolutionary-Computation~~Ying-ping-Chen Science>Mathematics>Mathematics Paperback, Springer Berlin Heidelberg
2010, ISBN: 9783642098765
edizione con copertina flessibile, edizione con copertina rigida
[ED: 1], 1., Softcover reprint of hardcover 1st ed. 2008, Softcover, Buch, [PU: Springer Berlin]
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Informazioni dettagliate del libro - Linkage in Evolutionary Computation Ying-ping Chen Editor
EAN (ISBN-13): 9783642098765
ISBN (ISBN-10): 3642098762
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Springer Berlin Heidelberg Core >1 >T
500 Pagine
Peso: 0,748 kg
Lingua: eng/Englisch
Libro nella banca dati dal 2011-11-09T00:35:58+01:00 (Rome)
Pagina di dettaglio ultima modifica in 2020-09-03T23:58:50+02:00 (Rome)
ISBN/EAN: 3642098762
ISBN - Stili di scrittura alternativi:
3-642-09876-2, 978-3-642-09876-5
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : ping, chen
Titolo del libro: chen ping
Dati dell'editore
Autore: Ying-ping Chen
Titolo: Studies in Computational Intelligence; Linkage in Evolutionary Computation
Editore: Springer; Springer Berlin
488 Pagine
Anno di pubblicazione: 2010-10-28
Berlin; Heidelberg; DE
Stampato / Fatto in
Lingua: Inglese
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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