Differential evolution algorithm based on simulated annealing

Authors:
Kunqi Liu;Xin Du;Lishan Kang
Affiliations:
School of Computer, China University of Geosciences, Wuhan, China and Department of Computer Science, Shijiazhuang University of Economics, Shijiazhuang, China;State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China and Department of Computer Science, Shijiazhuang University of Economics, Shijiazhuang, China;School of Computer, China University of Geosciences, Wuhan, China and State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China
Venue:
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Year:
2007

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Abstract

Differential evolution algorithm is a simple stochastic global optimization algorithm. In this paper, the idea of simulated annealing is involved into original differential evolution algorithm and a simulated annealing-based differential evolution algorithm is proposed. It is almost as simple for implement as differential evolution algorithm, but it can improve the abilities of seeking the global excellent result and evolution speed. The experiment results demonstrate that the proposed algorithm is superior to original differential evolution algorithm.