Detail publikace

Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study

SCHWARZ Josef a OČENÁŠEK Jiří. Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study. In: Proceedings of the 35th Spring International Conference MOSIS'01, Vol. 1. Hradec nad Moravicí: MARQ, 2001, s. 101-108. ISBN 80-85988-57-7.
Název česky
Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Schwarz Josef, Ing., CSc. (UIVT FEI VUT)
Očenášek Jiří, Ing. (UIVT FEI VUT)
URL
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
Konference
35th Spring International Conference Modelling and Simulation of Systems (MOSIS 2001), Hradec nad Moravicí, CZ
ISBN
80-85988-57-7
Vydavatel
MARQ
Místo
Hradec nad Moravicí, CZ
BibTeX 
@INPROCEEDINGS{FITPUB6438,
   author = "Josef Schwarz and Ji\v{r}\'{i} O\v{c}en\'{a}\v{s}ek",
   title = "Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study",
   pages = "101--108",
   booktitle = "Proceedings of the 35th Spring International Conference MOSIS'01, Vol. 1",
   year = 2001,
   location = "Hradec nad Moravic\'{i}, CZ",
   ISBN = "80-85988-57-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/6438"
}
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