DocumentCode :
1797347
Title :
System identification using differential evolution with winner mutation strategy
Author :
Ming-Feng Yeh ; Hung-Ching Lu ; Ti-Hung Chen ; Po-Jung Huang
Author_Institution :
Dept. of Electr. Eng., Lunghwa Univ. of Sci. & Technol., Taoyuan, Taiwan
Volume :
1
fYear :
2014
fDate :
13-16 July 2014
Firstpage :
77
Lastpage :
81
Abstract :
Inspired by 2-Opt algorithm, this study attempts to propose a new mutation strategy, termed the winner mutation strategy, for differential evolution (DE) algorithm to enhance global search ability and to increase accuracy. Then DE with the proposed winner mutation strategy is applied to identify an unknown system whose structure is assumed to be known in advance. The search performance of the proposed DE algorithm is compared with the standard DE and 2-Opt based DE in terms of parameter accuracy and convergence speed. Simulation results demonstrate the effectiveness of the proposed algorithm.
Keywords :
convergence; discrete systems; evolutionary computation; identification; nonlinear systems; search problems; DE algorithm; convergence speed; differential evolution algorithm; discrete nonlinear systems; global search ability; parameter accuracy; search performance; system identification; unknown system; winner mutation strategy; Abstracts; Computational modeling; Computers; Genetics; Nonlinear systems; Optimization; Simulation; Differential evolution; Mutation strategy; Optimization problem; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
ISSN :
2160-133X
Print_ISBN :
978-1-4799-4216-9
Type :
conf
DOI :
10.1109/ICMLC.2014.7009095
Filename :
7009095
Link To Document :
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