Journal article

LAUMANNS Marco and OČENÁŠEK Jiří. Bayesian Optimization Algorithms for Multi-Objective Optimization. Lecture Notes in Computer Science. 2002, vol. 2002, no. 2439, pp. 298-307. ISBN 3-540-444139-5. ISSN 0302-9743.
Publication language:english
Original title:Bayesian Optimization Algorithms for Multi-Objective Optimization
Title (cs):Bayesovský optimalizační algoritmus pro multikriteriální optimalizaci
Pages:298-307
Book:Parallel Problem Solving from Nature - PPSN VII
Place:Granada, ES
Year:2002
ISBN:3-540-444139-5
Journal:Lecture Notes in Computer Science, Vol. 2002, No. 2439, DE
ISSN:0302-9743
Publisher:Springer Verlag
Keywords
probabilistic models,Estimation Distribution Algorithms, multi-objective evolutionary optimization, Pareto-optimal solutions, Bayesian Optimization Algorithm, binary decision trees, knapsack problem.
Annotation
In recent years, several researchers have concentrated on using probabilistic models in evolutionary algorithms. These Estimation Distribution Algorithms (EDA) incorporate methods for automated learning of correlations between variables of the encoded solutions. The process of sampling new individuals from a probabilistic model respects these mutual dependencies among genes such that disruption of important building blocks is avoided, in comparison with classical recombination operators. The goal of this paper is to investigate the usefulness of this concept in multi-objective evolutionary optimization, where the aim is to approximate the set of Pareto-optimal solutions. We integrate the model building and sampling techniques of a special EDA called Bayesian Optimization Algorithm based on binary decision trees into a general evolutionary multi-objective optimizer. A potential performance gain is empirically tested in comparison with other state-of-the-art multi-objective EA on the bi-objective 0/1 knapsack problem.
BibTeX:
@ARTICLE{
   author = {Marco Laumanns and Ji{\v{r}}{\'{i}}
	O{\v{c}}en{\'{a}}{\v{s}}ek},
   title = {Bayesian Optimization Algorithms for Multi-Objective
	Optimization},
   pages = {298--307},
   booktitle = {Parallel Problem Solving from Nature - PPSN VII},
   journal = {Lecture Notes in Computer Science},
   volume = {2002},
   number = {2439},
   year = {2002},
   location = {Granada, ES},
   publisher = {Springer Verlag},
   ISBN = {3-540-444139-5},
   ISSN = {0302-9743},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=6939}
}

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