DocumentCode :
510279
Title :
Improved Differential Evolution Algorithm with Random Migration Operator
Author :
Gao, Yuelin ; Wang, Miaomiao
Author_Institution :
Inst. of Inf. & Syst. Sci., North Nat. Univ., Yinchuan, China
Volume :
1
fYear :
2009
fDate :
11-14 Dec. 2009
Firstpage :
92
Lastpage :
97
Abstract :
An improved differential evolution algorithm is given. In the algorithm a logarithm increased crossover and a random migration operator are used to overcome the convergent slowness in the later period of the iteration and fall easily into premature convergence. It is shown by the experiments on eight typical problems that the modified algorithm has strongly global search ability.
Keywords :
convergence; evolutionary computation; mathematical operators; search problems; differential evolution algorithm; global search; logarithm increased crossover; premature convergence; random migration operator; Acceleration; Chromium; Competitive intelligence; Computational intelligence; Convergence; Evolutionary computation; Genetic mutations; National security; Stability; Stochastic processes; differential evolution; random migration operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
Type :
conf
DOI :
10.1109/CIS.2009.56
Filename :
5376706
Link To Document :
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