Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/51617

TitleAn adaptive constraint handling technique for evolutionary algorithms
Author(s)Costa, Lino
Espírito Santo, I. A. C. P.
Oliveira, Pedro
KeywordsConstraint handling
Equality constraints
Adaptive technique
Genetic algorithm
Evolution strategies
Issue date2013
PublisherTaylor and Francis
JournalOptimization
Abstract(s)In global optimization with evolutionary algorithms constraint handling presents major difficulties, especially in the case of equality constraints. Several techniques have been proposed to overcome this difficulty. In this work an adaptive constraint handling technique is studied on a set of test problems with two evolutionary algorithms. The results indicate that the proposed adaptive technique produces results with better quality in terms of objective function values and constraint violations. The comparison was assessed by performance profiles based on a new metric that considers information both on objective function value and constraints violation.
TypeArticle
URIhttp://hdl.handle.net/1822/51617
DOI10.1080/02331934.2011.590486
ISSN0233-1934
e-ISSN1029-4945
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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