Advanced Parallel Copula Based EDA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU122834" target="_blank" >RIV/00216305:26230/16:PU122834 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11225/" target="_blank" >https://www.fit.vut.cz/research/publication/11225/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI.2016.7850202" target="_blank" >10.1109/SSCI.2016.7850202</a>
Alternative languages
Result language
angličtina
Original language name
Advanced Parallel Copula Based EDA
Original language description
Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that are based on building and sampling a probability model. Copula theory provides methods that simplify the estimation of the probability model. To improve the efficiency of current copula based EDAs (CEDAs) new modifications of parallel CEDA were proposed. We investigated eight variants of island-based algorithms utilizing the capability of promising copula families, inter-island migration and additional adaptation of marginal parameters using CT-AVS technique. The proposed algorithms were tested on two sets of well-known standard optimization benchmarks in the continuous domain. The results of the experiments validate the efficiency of our algorithms.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE Symposium Series on Computational Intelligence
ISBN
978-1-5090-4239-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Athens
Event location
Athens
Event date
Dec 6, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000400488302108