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HYRŠ, M.; SCHWARZ, J.
Originální název
Estimation of distribution algorithm with copula probabilistic model: A short introduction.
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
A new approach of probabilistic modeling used in Estimation of Distribution Algorithms (EDAs) based on Copula theory is described. By means of copulas it is possible to separate the structure of dependence from the marginal distributions in a joint distribution. Two- dimensional Gaussian copula is depicted in more details including the sampling of the copula based on the conditional probabillity density function. The use of copulas for modeling joint distributions in EDAs is illustrated on several benchmarks.
Anglický abstrakt
Klíčová slova
Estimation of distribution algorithms, Copula Theory, Sklar's theorem, Gaussian copula, optimization problems.
Klíčová slova v angličtině
Autoři
Rok RIV
2015
Vydáno
25.06.2014
Nakladatel
Faculty of Mechanical Engineering BUT
Místo
Brno
ISBN
978-80-214-4984-8
Kniha
Proceedings of 20th international conference of softcomputing
Strany od
71
Strany do
76
Strany počet
6
URL
https://www.fit.vut.cz/research/publication/10678/
BibTex
@inproceedings{BUT111625, author="Martin {Hyrš} and Josef {Schwarz}", title="Estimation of distribution algorithm with copula probabilistic model: A short introduction.", booktitle="Proceedings of 20th international conference of softcomputing", year="2014", pages="71--76", publisher="Faculty of Mechanical Engineering BUT", address="Brno", isbn="978-80-214-4984-8", url="https://www.fit.vut.cz/research/publication/10678/" }
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