Open Access
ARTICLE
Optimized PID Controller Using Adaptive Differential Evolution with Meanof-pbest Mutation Strategy
Ti-Hung Chen1, Ming-Feng Yeh2,*
1 Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan, ROC
2 Department of Electrical Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan, ROC.
* Corresponding Author: Ming-Feng Yeh,
Intelligent Automation & Soft Computing 2020, 26(3), 407-420. https://doi.org/10.32604/iasc.2020.013917
Abstract
On the basis of JADE (adaptive differential evolution with optional external
archive) and the modified differential evolution with
p-best crossover
(MDE_
pBX), this study attempts to propose a modified mutation strategy termed "DE/(
pbest)/1" for the differential evolution (DE) algorithm, where “(
pbest)” represents the mean of p top-best vectors. Two modified parameter
adaptation mechanisms are also proposed to update the crossover rate and the
scale factor, respectively, in an adaptive manner. The DE variant with the
proposed mutation strategy and two modified adaptation mechanisms is termed
adaptive differential evolution with mean-of-
pbest mutation strategy, denoted
by ADE_
pBM is
comparable to or better than the four state-of-the-art adaptive DE variants in
terms of accuracy, reliability and efficiency.
Keywords
Cite This Article
T. Chen and M. Yeh, "Optimized pid controller using adaptive differential evolution with meanof-
pbest mutation strategy,"
Intelligent Automation & Soft Computing, vol. 26, no.3, pp. 407–420, 2020. https://doi.org/10.32604/iasc.2020.013917
Citations