Doc. Ing. Josef Schwarz, CSc.

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.
Jazyk publikace:angličtina
Název publikace:Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study
Název (cs):Evolutionary Multiobjective Bayesian Optimization Algorithm:Experimental Study
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)
Místo vydání:Hradec nad Moravicí, CZ
Rok:2001
ISBN:80-85988-57-7
Vydavatel:MARQ
URL:http://www.fit.vutbr.cz/~schwarz/PDFCLANKY/mosis01.pdf [PS]
Klíčová slova
Multiobjective optimization, evolutionary algorithms, Bayesian optimization algorithm, Pareto set, niching techniques, hypergraph bisectioning
Anotace
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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=6438}
}

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