Estimation of distribution algorithm with copula probabilistic model:a short introduction.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112030" target="_blank" >RIV/00216305:26230/14:PU112030 - isvavai.cz</a>

Result on the web

<a href="https://www.fit.vut.cz/research/publication/10678/" target="_blank" >https://www.fit.vut.cz/research/publication/10678/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Estimation of distribution algorithm with copula probabilistic model:a short introduction.

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of 20th international conference of softcomputing

ISBN

978-80-214-4984-8

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

71-76

Publisher name

Faculty of Mechanical Engineering BUT

Place of publication

Brno

Event location

Brno

Event date

Jun 25, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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