Journals Information
Universal Journal of Control and Automation(CEASE PUBLICATION) Vol. 4(2), pp. 18 - 22
DOI: 10.13189/ujca.2016.040202
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Gaussian Barebones Differential Evolution with Random-type Gaussian Mutation Strategy
Hung-Ching Lu 1, Ming-Feng Yeh 2,*, Yu-Wei Lu 1
1 Department of Electrical Engineering, Tatung University, Taiwan
2 Department of Electrical Engineering, Lunghwa University of Science and Technology, Taiwan
ABSTRACT
This study attempts to propose a random-type Gaussian mutation strategy to improve the solution accuracy of Gaussian barebones differential evolution (GBDE). The proposed Gaussian mutation strategy is not only parameter free, but also employed to enhance the population diversity and global searching ability of the original mutation strategy. The search performance of GBDE with the proposed mutation strategy is compared with two standard DEs (DE/rand/1 and DE/best/1), the original GBDE and its modified version in terms of solution accuracy. Simulation results on two real-world optimal control problems given in IEEE - CEC 2011 evolutionary algorithm competition demonstrate the effectiveness of the proposed GBDE algorithm.
KEYWORDS
Differential Evolution, Mutation Strategy, Gaussian Sampling, Gaussian Barebones Differential Evolution
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Hung-Ching Lu , Ming-Feng Yeh , Yu-Wei Lu , "Gaussian Barebones Differential Evolution with Random-type Gaussian Mutation Strategy," Universal Journal of Control and Automation(CEASE PUBLICATION), Vol. 4, No. 2, pp. 18 - 22, 2016. DOI: 10.13189/ujca.2016.040202.
(b). APA Format:
Hung-Ching Lu , Ming-Feng Yeh , Yu-Wei Lu (2016). Gaussian Barebones Differential Evolution with Random-type Gaussian Mutation Strategy. Universal Journal of Control and Automation(CEASE PUBLICATION), 4(2), 18 - 22. DOI: 10.13189/ujca.2016.040202.