An Empirical Study about the Usefulness of the Evolution Strategies Natural Self-Adaptive Mechanism to Handle Constraints in Global Optimization (2003)

by E Mezura-Montes, Coello Coello, C A
Venue:Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAVIPN, México D.F., México. Available at http://www.cs.cinvestav.mx/~constraint Michalewicz
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1 USING THE EVOLUTION STRATEGIES ' SELF-ADAPTATION MECHANISM AND TOURNAMENT SELECTION FOR GLOBAL OPTIMIZATION

by Efrén Mezura-montes, Carlos, A. Coello Coello, Depto De Ingeniería Eléctrica, Sección De Computación
"... An approach based on a (m+1)-ES and three simple tournament rules is proposed to solve global optimization problems. The proposed approach does not use a penalty function and does not require any extra parameters other than the original parameters of an evolution strategy. This approach is validated ..."
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An approach based on a (m+1)-ES and three simple tournament rules is proposed to solve global optimization problems. The proposed approach does not use a penalty function and does not require any extra parameters other than the original parameters of an evolution strategy. This approach is validated with respect to the state-of-the-art techniques in evolutionary constrained optimization using a well-known benchmark. The results obtained are very competitive with respect to the approaches against which our approach was compared.