Journal article

SCHWARZ Josef and OČENÁŠEK Jiří. Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice. NEURAL NETWORK WORLD. 2001, vol. 11, no. 5, pp. 423-441. ISSN 1210-0552.
Publication language:english
Original title:Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice
Title (cs):Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice
Pages:423-441
Place:CZ
Year:2001
Journal:NEURAL NETWORK WORLD, Vol. 11, No. 5, CZ
ISSN:1210-0552
URL:http://www.fit.vutbr.cz/~schwarz/PDFCLANKY/nnw01.ps [PS]
Keywords
Multiobjective optimization, Pareto and non Pareto algorithms, evolutionary algorithms, probabilistic model, estimation distribution algorithms, Bayesian optimization algorithm, niching techniques
Annotation
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?id=6762}
}

Your IPv4 address: 54.224.50.28
Switch to IPv6 connection

DNSSEC [dnssec]