@Article{iasc.2020.013917,
AUTHOR = {Ti-Hung Chen, Ming-Feng Yeh},
TITLE = {Optimized PID Controller Using Adaptive Differential Evolution with Meanof-<i>p</i>best Mutation Strategy},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {407--420},
URL = {http://www.techscience.com/iasc/v26n3/40000},
ISSN = {2326-005X},
ABSTRACT = {On the basis of JADE (adaptive differential evolution with optional external 
archive) and the modified differential evolution with <i>p</i>-best crossover 
(MDE_<i>p</i>BX), this study attempts to propose a modified mutation strategy termed "DE/(<i>p</i>best)/1" for the differential evolution (DE) algorithm, where “(<i>p</i>best)” 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-<i>p</i>best mutation strategy, denoted 
by ADE_<i>p</i>BM is 
comparable to or better than the four state-of-the-art adaptive DE variants in 
terms of accuracy, reliability and efficiency.},
DOI = {10.32604/iasc.2020.013917}
}