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Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms Jose A. Lozano Editor
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ISBN: 9783642067044

Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimizat… Más…

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Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms: 192 (Studies in Fuzziness and Soft Computing, 192) - Pasta blanda

2010, ISBN: 9783642067044

Editor: Lozano, Jose A. Editor: Larrañaga, Pedro, Editor: Inza, Iñaki, Editor: Bengoetxea, Endika, Springer, Paperback, Auflage: Softcover reprint of hardcover 1st ed. 2006, 310 Seiten, P… Más…

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Towards a New Evolutionary Computation - Pasta blanda

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ISBN: 9783642067044

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Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms - Pasta blanda

2006, ISBN: 3642067042

[EAN: 9783642067044], Neubuch, [PU: Springer Berlin Heidelberg], 294 pages. 9.00x6.00x0.71 inches. In Stock., Books

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Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms - Pasta blanda

2006, ISBN: 9783642067044

Springer Berlin Heidelberg, 2006. Paperback. New. 294 pages. 9.00x6.00x0.71 inches., Springer Berlin Heidelberg, 2006, 6

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Detalles del libro
Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms Jose A. Lozano Editor
Autor:
Título:
ISBN:

9783642067044


Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field.This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective.

Detalles del libro - Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms Jose A. Lozano Editor


EAN (ISBN-13): 9783642067044
ISBN (ISBN-10): 3642067042
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer Berlin Heidelberg Core >1 >T
312 Páginas
Peso: 0,811 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2011-06-07T00:19:18+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-01-31T14:35:41+01:00 (Madrid)
ISBN/EAN: 9783642067044

ISBN - escritura alterna:
3-642-06704-2, 978-3-642-06704-4
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: lozano, lozán josé, larranaga, von pedro
Título del libro: algorithms, evolutionary computing

Datos del la editorial

Autor: Jose A. Lozano
Título: Studies in Fuzziness and Soft Computing; Towards a New Evolutionary Computation - Advances on Estimation of Distribution Algorithms
Editorial: Springer; Springer Berlin
294 Páginas
Año de publicación: 2010-11-25
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
164,99 € (DE)

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Wrapper; algorithm; algorithms; artificial intelligence; evolution; evolutionary algorithm; evolutionary computation; fuzzy; genetic algorithms; learning; model; mutation; operator; optimization; programming; Mathematical and Computational Engineering Applications; Artificial Intelligence; Applications of Mathematics; Künstliche Intelligenz; Angewandte Mathematik; BB

Linking Entropy to Estimation of Distribution Algorithms.- Entropy-based Convergence Measurement in Discrete Estimation of Distribution Algorithms.- Real-coded Bayesian Optimization Algorithm.- The CMA Evolution Strategy: A Comparing Review.- Estimation of Distribution Programming: EDA-based Approach to Program Generation.- Multi-objective Optimization with the Naive ID A.- A Parallel Island Model for Estimation of Distribution Algorithms.- GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm.- Bayesian Classifiers in Optimization: An EDA-like Approach.- Feature Ranking Using an EDA-based Wrapper Approach.- Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology.- Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem.
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