Publication Details

Advanced Bayesian Optimization Algorithms Applied in Decomposition Problems

SCHWARZ, J., OČENÁŠEK, J., JAROŠ, J. Advanced Bayesian Optimization Algorithms Applied in Decomposition Problems. In Proceedings of ECBS 2004. Los Alamitos: IEEE Computer Society, 2004. p. 102-111. ISBN: 0-7695-2125-8.
Czech title
Pokročilé Bayesovské optimalizační algoritmy aplikované na dekompoziční problémy
Type
conference paper
Language
English
Authors
Schwarz Josef, doc. Ing., CSc. (CM-SFE)
Očenášek Jiří, Ing.
Jaroš Jiří, doc. Ing., Ph.D. (DCSY)
Keywords

Bayesian optimization algorithm, hypergraph-partitioning problem, multiprocessor scheduling problem, specific problem knowledge

Abstract

This paper deals with the usage of Bayesian optimization algorithm (BOA) and its advanced variants for solving complex NP-complete combinatorial optimization problems. We focus on the hypergraph-partitioning problem and multiprocessor scheduling problem, which belong to the class of frequently solved decomposition tasks. One of the goals is to use these problems to experimentally compare the performance of the recently proposed Mixed Bayesian Optimization Algorithm (MBOA) with the performance of several other evolutionary algorithms. BOA algorithms are based on the estimation and sampling of probabilistic model unlike classical genetic algorithms. We also propose the utilization of prior knowledge about the structure of a task graph to increase the convergence speed and the quality of solutions. The performance of KMBOA algorithm on the multiprocessor scheduling problem is empirically investigated and confirmed.

Published
2004
Pages
102–111
Proceedings
Proceedings of ECBS 2004
ISBN
0-7695-2125-8
Publisher
IEEE Computer Society
Place
Los Alamitos
BibTeX 
@inproceedings{BUT17153,
  author="Josef {Schwarz} and Jiří {Očenášek} and Jiří {Jaroš}",
  title="Advanced Bayesian Optimization Algorithms Applied in Decomposition Problems",
  booktitle="Proceedings of ECBS 2004",
  year="2004",
  pages="102--111",
  publisher="IEEE Computer Society",
  address="Los Alamitos",
  isbn="0-7695-2125-8"
}
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