DocumentCode :
3314658
Title :
Differential Evolution with Mixed Distribution Mutation Operation
Author :
Wang Shenwen ; Ding Lixin ; Yang Hua ; Xie Datong ; Guo Zhaolu ; Xie Chenwang
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
fYear :
2012
fDate :
17-19 Aug. 2012
Firstpage :
215
Lastpage :
218
Abstract :
To solve the premature convergence problem of the conventional differential evolution, an improved differential evolution algorithm is proposed in this paper. The proposed algorithm introduces mixed distribution mutation operation which combines gaussian distribution mutation and cauchy distribution mutation by a proportion for maintaining the balance of the exploration and exploitation. Experimental results show that the novel algorithm achieves better performance.
Keywords :
Gaussian distribution; convergence; differential equations; cauchy distribution mutation; conventional differential evolution,an; differential evolution; gaussian distribution mutation; mixed distribution mutation operation; premature convergence problem; Benchmark testing; Convergence; Educational institutions; Gaussian distribution; Optimization; Sociology; Statistics; Cauchy distribution; Differential Evolution; Gaussian distribution; Mix distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
Type :
conf
DOI :
10.1109/ICCIS.2012.130
Filename :
6300441
Link To Document :
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