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