Detail publikace

Estimation Distribution Algorithm for mixed continuous-discrete optimization problems

SCHWARZ, J., OČENÁŠEK, J.

Originální název

Estimation Distribution Algorithm for mixed continuous-discrete optimization problems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Estimation Distribution Algorithm, Bayesian Optimization Algorithm, Bayesian network, Gaussian network, decision tree, CART model

Autoři

SCHWARZ, J., OČENÁŠEK, J.

Rok RIV

2002

Vydáno

16. 6. 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"
}