An Improved Differential Evolution Based on Triple Evolutionary Strategy

Authors:
Yichao He;Yingzhan Kou;Chunpu Shen
Affiliations:
School of Information Engineering, Shijiazhuang University of Economics, Shijiazhuang, China 050031;Computer Engineering Department, Ordnance Engineering College, Shijiazhuang, China 050003;College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, China 050016
Venue:
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Year:
2008

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Abstract

Differential Evolution (DE) is an evolution algorithm that was proposed by Storn and Price in 1997, which has already succeeded in applying to solve optimization questions in a lot of fields. This paper discusses various kinds of characteristics that DE demonstrates at first, then propose an improved differential evolution algorithm (TSDE) which has three kinds of efficiently evolutionary strategies, and proves its global convergence property use the finite Markov chain theory. Through the compare result of calculation of 5 classics testing functions, it shows that TSDE has the obvious advantage in the quality of solution, adaptability, robustness etc. than original DE and DEfirDE.