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OČENÁŠEK, J.; SCHWARZ, J.
Originální název
Estimation Distribution Algorithm for mixed continuous-discrete optimization problems
Anglický název
Druh
Stať ve sborníku mimo WoS a Scopus
Originální abstrakt
In recent few years expressive progress in the theory and practice of Estimation of Distribution Algorithms (EDAs) [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.
Anglický abstrakt
Klíčová slova
Estimation Distribution Algorithm, Bayesian Optimization Algorithm, Bayesian network, Gaussian network, classification and regression tree model (CART).
Klíčová slova v angličtině
Autoři
Vydáno
16.06.2002
Nakladatel
IOS Press
Místo
Kosice
ISBN
1-58603-256-9
Kniha
Proceedings of the 2nd Euro-International Symposium on Computational Intelligence
Strany od
227
Strany do
232
Strany počet
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" }