Detail publikace

A problem knowledge-based evolutionary algorithm KBOA for hypergraph bisectioning

SCHWARZ, J.; OČENÁŠEK, J. A problem knowledge-based evolutionary algorithm KBOA for hypergraph bisectioning. Proceedings of the Fourth Joint Conference on Knowledge-Based Software Engineering Brno, Czech Republic, 2000. BRNO: IOS Press, 2000. p. 51-58. ISBN: 1-58603-060-4.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Schwarz Josef, doc. Ing., CSc. (CK-SZZ)
Očenášek Jiří, Ing.
URL
Klíčová slova

problem knowledge, Bayesian evolutionary algorithm, hypergraph partitioning

Abstrakt

This paper is an experimental study on an utilization of additional knowledge about the decomposition problem to be solved. We have demonstrated this approach on the hypergraph bisectioning that can serve as a model of system decomposition in common, data base decomposition etc. We have focused on the extension of the Bayesian Optimization Algorithm BOA. The extension of the original BOA algorithm is based on the usage of a prior information about the hypergraph structure. This knowledge is used for both setting initial Bayesian network and the initial population using injection of clusters to improve the convergence of the decomposition process. The behaviour of our version KBOA is tested on the set of benchmarks, such as grid and random geometric graphs as well as real hypergraphs.

Rok
2000
Strany
51–58
Sborník
Proceedings of the Fourth Joint Conference on Knowledge-Based Software Engineering Brno, Czech Republic, 2000
ISBN
1-58603-060-4
Vydavatel
IOS Press
Místo
BRNO
BibTeX 
@inproceedings{BUT193882,
  author="Josef {Schwarz} and Jiří {Očenášek}",
  title="A problem knowledge-based evolutionary algorithm KBOA for hypergraph bisectioning",
  booktitle="Proceedings of the Fourth Joint Conference on Knowledge-Based Software Engineering Brno, Czech Republic, 2000",
  year="2000",
  pages="51--58",
  publisher="IOS Press",
  address="BRNO",
  isbn="1-58603-060-4",
  url="http://www.fit.vutbr.cz/~schwarz/PDFCLANKY/jckbse.ps"
}
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