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SCHWARZ, J., OČENÁŠEK, J.
Original Title
Estimation Distribution Algorithm for mixed continuous-discrete optimization problems
Type
conference paper
Language
English
Original Abstract
In recent few years expressive progress in the theory and practice of Estimation of Distribution Algorithms (EDA) [1] has appeared, where the classical genetic recombination operators are replaced by probability estimation and stochastic sampling techniques. In this paper we identify some disadvantages of present probabilistic models used in EDAs and propose more general and efficient model for continuous optimization problems based on the decision trees. The new variant of EDA is capable to solve mixed continuous-discrete optimization problems.
Keywords
Estimation Distribution Algorithm, Bayesian Optimization Algorithm, Bayesian network, Gaussian network, decision tree, CART model
Authors
RIV year
2002
Released
16. 6. 2002
Publisher
IOS Press
Location
Kosice
ISBN
1-58603-256-9
Book
Proceedings of the 2nd Euro-International Symposium on Computational Intelligence
Pages from
227
Pages to
232
Pages count
6
BibTex
@inproceedings{BUT10030, author="Jiří {Očenášek} and Josef {Schwarz}", title="Estimation Distribution Algorithm for mixed continuous-discrete optimization problems", booktitle="Proceedings of the 2nd Euro-International Symposium on Computational Intelligence", year="2002", pages="227--232", publisher="IOS Press", address="Kosice", isbn="1-58603-256-9" }