Publication detail

The Parallel Bayesian Optimization Algorithm

OČENÁŠEK, J. SCHWARZ, J.

Original Title

The Parallel Bayesian Optimization Algorithm

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

In the last few years there has been a growing interest in the field of Estimation of Distribution Algorithms (EDAs), where crossover and mutation genetic operators are replaced by probability estimation and sampling techniques. The Bayesian Optimization Algorithm incorporates methods for learning Bayesian networks and uses these to model the promising solutions and generate new ones. The aim of this paper is to propose the parallel version of this algorithm, where the optimization time decreases linearly with the number of processors. During the parallel construction of network, the explicit topological ordering of variables is used to keep the model acyclic. The performance of the optimization process seems to be not affected by this constraint and our version of algorithm was successfully tested for the discrete combinatorial problem represented by graph partitioning as well as for deceptive functions.

Keywords

EDA, BOA, Bayesian network, probabilistic model, fine-grained parallelism, parallel computing

Authors

OČENÁŠEK, J.; SCHWARZ, J.

Released

1. 1. 2000

Publisher

Springer Verlag

Location

Košice

ISBN

3-7908-1322-2

Book

Proceedings of the European Symposium on Computational Inteligence

ISBN

1615-3871

Periodical

Advances in Soft Computing

State

unknown

Pages from

61

Pages to

67

Pages count

7

URL

http://www.fit.vutbr.cz/~schwarz/PDFCLANKY/ISCI00.pdf

BibTex

@inproceedings{BUT191579,
  author="Jiří {Očenášek} and Josef {Schwarz}",
  title="The Parallel Bayesian Optimization Algorithm",
  booktitle="Proceedings of the European Symposium on Computational Inteligence",
  year="2000",
  journal="Advances in Soft Computing",
  pages="61--67",
  publisher="Springer Verlag",
  address="Košice",
  isbn="3-7908-1322-2",
  issn="1615-3871",
  url="http://www.fit.vutbr.cz/~schwarz/PDFCLANKY/ISCI00.pdf"
}