Stratified Sampling Differential Evolution Algorithm for Global Optimization Problem

Shu Hua Wen; Qing Bo Lu; Xue Liang Zhang

doi:10.4028/www.scientific.net/AMR.452-453.1491

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 452-453Stratified Sampling Differential Evolution...

Stratified Sampling Differential Evolution Algorithm for Global Optimization Problem

Abstract:

Differential Evolution (DE) is one kind of evolution algorithm, which based on difference of individuals. DE has exhibited good performance on optimization problem. However, when a local optimal solution is reached with classical Differential Evolution, all individuals in the population gather around it, and escaping from these local optima becomes difficult. To avoid premature convergence of DE, we present in this paper a novel variant of DE algorithm, called SSDE, which uses the stratified sampling method to replace the random sampling method. The proposed SSDE algorithm is compared with some variant DE. The numerical results show that our approach is robust, competitive and fast.

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Periodical:

Advanced Materials Research (Volumes 452-453)

Pages:

1491-1495

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.452-453.1491

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Online since:

January 2012

Authors:

Shu Hua Wen, Qing Bo Lu, Xue Liang Zhang

Keywords:

Differential Evolution, Global Optimization, Stratified Sampling

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