DocumentCode
2837811
Title
Chaotic Local Search Based Differential Evolution
Author
Zhang, Jidong ; Jia, Dongli ; Jiao, Yongmei
Author_Institution
Coll. of Water Conservancy & Electr. Power, Hebei Univ. of Eng., Handan, China
Volume
4
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
168
Lastpage
171
Abstract
To improve the performance of differential evolution (DE), a novel algorithm called chaotic differential evolution (CDE) was proposed in this paper. Chaotic local search, which is characterized bits randomicity, is employed to overcome the weakness of the premature convergence of standard DE. Three multidimensional non-linear functions were used to verify the efficiency of CDE and the simulation results show that it is a promising method with the advantages of better search ability and robust.
Keywords
evolutionary computation; nonlinear functions; search problems; chaotic differential evolution; chaotic local search; multidimensional nonlinear functions; Chaos; Convergence; Design optimization; Educational institutions; Evolutionary computation; Genetic algorithms; Genetic mutations; Power engineering and energy; Power engineering computing; Probability distribution; chaotic local search; differential evolution; evolution algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.256
Filename
5364559
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