Detail publikace

Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study

SCHWARZ, J.; OČENÁŠEK, J. Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study. Proceedings of the 35th Spring International Conference MOSIS'01, Vol. 1. Hradec nad Moravicí: 2001. p. 101-108. ISBN: 80-85988-57-7.
Název česky
Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Schwarz Josef, doc. Ing., CSc. (CK-SZZ)
Očenášek Jiří, Ing.
URL
Klíčová slova

Multiobjective optimization, evolutionary algorithms, Bayesian optimization algorithm, Pareto set, niching techniques, hypergraph bisectioning

Abstrakt

This paper deals with the utilizing of the Bayesian optimization algorithm (BOA) for multiobjective optimization of hypergraph partitioning. The main attention is focused on the incorporation of the Pareto optimality concept. We have modified the standard algorithm BOA for one criterion optimization according to well known niching techniques to find the Pareto optimal set. This approach was compared with standard weighting techniques and the single optimization approach with the constraint. The experiments are focused mainly on the bi-objective optimization because of the visualization simplicity.

Rok
2001
Strany
101–108
Sborník
Proceedings of the 35th Spring International Conference MOSIS'01, Vol. 1
ISBN
80-85988-57-7
Místo
Hradec nad Moravicí
BibTeX 
@inproceedings{BUT5431,
  author="Josef {Schwarz} and Jiří {Očenášek}",
  title="Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study",
  booktitle="Proceedings of the 35th Spring International Conference MOSIS'01, Vol. 1",
  year="2001",
  pages="101--108",
  address="Hradec nad Moravicí",
  isbn="80-85988-57-7",
  url="http://www.fit.vutbr.cz/~schwarz/PDFCLANKY/mosis01.pdf"
}
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