Computational Optimization and Applications

, Volume 37, Issue 2, pp 231–246

Differential evolution algorithms using hybrid mutation

Article

DOI: 10.1007/s10589-007-9014-3

Cite this article as:
Kaelo, P. & Ali, M.M. Comput Optim Appl (2007) 37: 231. doi:10.1007/s10589-007-9014-3

Abstract

Differential evolution (DE) has gained a lot of attention from the global optimization research community. It has proved to be a very robust algorithm for solving non-differentiable and non-convex global optimization problems. In this paper, we propose some modifications to the original algorithm. Specifically, we use the attraction-repulsion concept of electromagnetism-like (EM) algorithm to boost the mutation operation of the original differential evolution. We carried out a numerical study using a set of 50 test problems, many of which are inspired by practical applications. Results presented show the potential of this new approach.

Keywords

Global optimization Mutation Differential evolution Electromagnetism-like algorithm Attraction–repulsion 

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.School of Computational and Applied MathematicsWitwatersrand UniversityJohannesburgRepublic of South Africa

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