JAROŠ Jiří and SCHWARZ Josef. Parallel BMDA with an Aggregation of Probability Models. In: Proceeding of 2009 IEEE Congress on Evolutionary Computation. Trondheim: IEEE Computational Intelligence Society, 2009, pp. 16831690. ISBN 9781424429592. 
Publication language:  english 

Original title:  Parallel BMDA with an Aggregation of Probability Models 

Title (cs):  Paralelní BMDA s Agregací Pravděpodobnostních Modelů 

Pages:  16831690 

Proceedings:  Proceeding of 2009 IEEE Congress on Evolutionary Computation 

Conference:  IEEE Congress on Evolutionary Computation 

Place:  Trondheim, NO 

Year:  2009 

ISBN:  9781424429592 

Publisher:  IEEE Computational Intelligence Society 

Files:  


Keywords 

BMDA, aggregation, probability distributions, migration 
Annotation 

The paper is focused on the problem of aggregation of probability distribution applicable for parallel Bivariate Marginal Distribution Algorithm (pBMDA). A new approach based 000274803100222on quantitative combination of probabilistic models is presented. Using this concept, the traditional migration of individuals is replaced with a newly proposed technique of probability parameter migration. In the proposed strategy, the adaptive learning of the resident probability model is used. The short theoretical study is completed by an experimental works for the implemented parallel BMDA algorithm (pBMDA). The performance of pBMDA algorithm is evaluated for various problem size (scalability) and interconnection topology. In addition, the comparison with the previously published aBMDA is presented. 
BibTeX: 

@INPROCEEDINGS{
author = {Ji{\v{r}}{\'{i}} Jaro{\v{s}} and Josef Schwarz},
title = {Parallel BMDA with an Aggregation of Probability
Models},
pages = {16831690},
booktitle = {Proceeding of 2009 IEEE Congress on Evolutionary Computation},
year = {2009},
location = {Trondheim, NO},
publisher = {IEEE Computational Intelligence Society},
ISBN = {9781424429592},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8948}
} 