Doc. Ing. Josef Schwarz, CSc.

SCHWARZ Josef a OČENÁŠEK Jiří. Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice. NEURAL NETWORK WORLD. 2001, roč. 11, č. 5, s. 423-441. ISSN 1210-0552.
Jazyk publikace:angličtina
Název publikace:Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice
Název (cs):Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice
Strany:423-441
Místo vydání:CZ
Rok:2001
Časopis:NEURAL NETWORK WORLD, roč. 11, č. 5, CZ
ISSN:1210-0552
URL:http://www.fit.vutbr.cz/~schwarz/PDFCLANKY/nnw01.ps [PS]
Klíčová slova
Multiobjective optimization, Pareto and non Pareto algorithms, evolutionary algorithms, probabilistic model, estimation distribution algorithms, Bayesian optimization algorithm, niching techniques
Anotace
This paper deals with the utilizing of the Bayesian optimization algorithm (BOA) for the multiobjective optimization of combinatorial problems. Three probabilistic models used in the Estimation Distribution Algorithms (EDA), such as UMDA, BMDA and BOA which allow to search effectively on the promising areas of the combinatorial search space are discussed. The main attention is focused on the incorporation of Pareto optimality concept into classical structure of the BOA algorithm. We have modified the standard algorithm BOA for one criterion optimization utilizing the known niching techniques to find the Pareto optimal set. The experiments are focused on tree classes of the combinatorial problems: artificial problem with known Pareto set, multiple 0/1 knapsack problem and the bisectioning of hypergraphs as well.
BibTeX:
@ARTICLE{
   author = {Josef Schwarz and Ji{\v{r}}{\'{i}}
	O{\v{c}}en{\'{a}}{\v{s}}ek},
   title = {Multiobjective Bayesian Optimization Algorithm for
	Combinatorial Problems: Theory and Practice},
   pages = {423--441},
   journal = {NEURAL NETWORK WORLD},
   volume = {11},
   number = {5},
   year = {2001},
   ISSN = {1210-0552},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=6762}
}

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