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Towards a new evolutionary computation : advances in the estimation of distribution algorithms

Author: José A Lozano
Publisher: Berlin ; New York : Springer, ©2006.
Series: Studies in fuzziness and soft computing, 192.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

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.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: José A Lozano
ISBN: 3540290060 9783540290063
OCLC Number: 63763942
Description: xv, 294 pages : illustrations ; 25 cm.
Contents: 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.
Series Title: Studies in fuzziness and soft computing, 192.
Responsibility: Jose A. Lozano [and others].

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