Elliptical and Archimedean Copulas in Estimation of Distribution Algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117069" target="_blank" >RIV/00216305:26230/15:PU117069 - isvavai.cz</a>

Result on the web

<a href="https://www.fit.vut.cz/research/publication/11012/" target="_blank" >https://www.fit.vut.cz/research/publication/11012/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Elliptical and Archimedean Copulas in Estimation of Distribution Algorithm

Original language description

Estimation of distribution algorithm (EDA) is a variant of evolution algorithms, which is based on construction and sampling of probability model. Nowadays the copula theory is often utilized for the probability model estimation to simplify this process. We made comparison of two classes of copulas - elliptical and Archimedean ones - for the set of standard optimization benchmarks. The experimental results con firm our assumption that the elliptical copulas outperform the Archimedean ones namely in the case of the complex optimization problems.

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

2015

Confidentiality

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

Article name in the collection

MENDEL 2015 21st International Conference on Soft Computing

ISBN

978-80-214-4984-8

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

19-26

Publisher name

Faculty of Mechanical Engineering BUT

Place of publication

Brno

Event location

Brno

Event date

Jun 23, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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