Department of Computer Systems
Conference paperHYRŠ Martin and SCHWARZ Josef. Elliptical and Archimedean Copulas in Estimation of Distribution Algorithm with Model Migration. In: Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015). Lisbon: SciTePress - Science and Technology Publications, 2015, pp. 212-219. ISBN 978-989-758-157-1. | Publication language: | english |
---|
Original title: | Elliptical and Archimedean Copulas in Estimation of Distribution Algorithm with Model Migration |
---|
Title (cs): | Eliptické a Archimedovské kopule v EDA s migrací modelů |
---|
Pages: | 212-219 |
---|
Proceedings: | Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) |
---|
Conference: | International Conference on Evolutionary Computation Theory and Applications 2015 |
---|
Place: | Lisbon, PT |
---|
Year: | 2015 |
---|
ISBN: | 978-989-758-157-1 |
---|
Publisher: | SciTePress - Science and Technology Publications |
---|
URL: | [PDF] |
---|
Files: | |
---|
| Keywords |
---|
Estimation of Distribution Algorithms, Copula Theory, Parallel EDA, Island-based Model, Multivariate
Copula Sampling, Migration of Probabilistic Models. |
Annotation |
---|
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 a probability
model. An island-based version of copula-based EDA with probabilistic model migration (mCEDA) was
tested on a set of well-known standard optimization benchmarks in the continuous domain. We investigated
two families of copulas - Archimedean and elliptical. Experimental results confirm that this concept of model
migration (mCEDA) yields better convergence as compared with the sequential version (sCEDA) and other
recently published copula-based EDAs. |
BibTeX: |
---|
@INPROCEEDINGS{
author = {Martin Hyr{\v{s}} and Josef Schwarz},
title = {Elliptical and Archimedean Copulas in Estimation
of Distribution Algorithm with Model Migration},
pages = {212--219},
booktitle = {Proceedings of the 7th International Joint Conference on
Computational Intelligence (IJCCI 2015)},
year = {2015},
location = {Lisbon, PT},
publisher = {SciTePress - Science and Technology Publications},
ISBN = {978-989-758-157-1},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11013}
} |
|