Experimental comparison of methods to handle boundary constraints in differential evolution

39Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper we show that the technique of handling boundary constraints has a significant influence on the efficiency of the Differential Evolution method. We study the effects of applying several such techniques taken from the literature. The comparison is based on experiments performed for a standard DE/rand/1/bin strategy using the CEC2005 benchmark. The paper reports the results of experiments and provides their simple statistical analysis. Among several constraint handling methods, a winning approach is to repeat the differential mutation by resampling the population until a feasible mutant is obtained. Coupling the aforementioned method with a simple DE/rand/1/bin strategy allows to achieve results that outperform in many cases results of almost all other methods tested during the CEC2005 competition, including the original DE/rand/1/bin strategy. © 2010 Springer-Verlag.

Cite

CITATION STYLE

APA

Arabas, J., Szczepankiewicz, A., & Wroniak, T. (2010). Experimental comparison of methods to handle boundary constraints in differential evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6239 LNCS, pp. 411–420). https://doi.org/10.1007/978-3-642-15871-1_42

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free