Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/19141

TitleAn elitist genetic algorithm for multiobjective optimization
Author(s)Costa, L.
Oliveira, P. N.
KeywordsGenetic algorithms
Multiobjective optimization
Elitism
Issue date2004
PublisherKluwer
JournalApplied Optimization
Abstract(s)Solving multiobjective engineering problems is, in general, a difficult task. In spite of the success of many approaches, elitism has emerged has an effective way of improving the performance of algorithms. In this paper, a new elitist scheme, by which it is possible to control the size of the elite population, as well as the concentration of points in the approximation to the Pareto-optimal set, is introduced. This new scheme is tested on several multiobjective problems and, it proves to lead to a good compromise between computational time and size of the elite population.
TypeConference paper
URIhttp://hdl.handle.net/1822/19141
ISBN1-4020-7653-3
ISSN1384-6485
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters

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