(Enter summary)
Abstract: This paper discusses the general multiobjective optimization concepts
that can and have been used to incorporate constraints of any type (linear,
nonlinear, equality and inequality) into the
tness function of a genetic algorithm
used for global optimization. We also describe several approaches
currently reported in the literature and four of them are compared using
several test functions. The results obtained are widely discussed and some
ideas about how to devise new approaches based on ... (Update)
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BibTeX entry: (Update)
Efren Mezura-Montes and Carlos A. Coello Coello. A Numerical Comparison of some Multiobjective-based Techniques to Handle Constraints in Genetic Algorithms. Technical Report EVOCINV-03-2002, Evolutionary Computation Group at CINVESTAV-IPN, Mexico, D.F. 07300, September 2002. available at: http://www.cs.cinvestav.mx/EVOCINV/. http://citeseer.ist.psu.edu/mezura-montes02numerical.html More
@misc{ mezura-montes02numerical,
author = "E. Mezura-Montes and C. Coello",
title = "A Numerical Comparison of some Multiobjective-based Techniques to Handle
Constraints in Genetic Algorithms",
text = "Efren Mezura-Montes and Carlos A. Coello Coello. A Numerical Comparison
of some Multiobjective-based Techniques to Handle Constraints in Genetic
Algorithms. Technical Report EVOCINV-03-2002, Evolutionary Computation Group
at CINVESTAV-IPN, Mexico, D.F. 07300, September 2002. available at: http://www.cs.cinvestav.mx/EVOCINV/.",
year = "2002",
url = "citeseer.ist.psu.edu/mezura-montes02numerical.html" }
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