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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.256
