DocumentCode :
2557759
Title :
Parameter self-adaptive Differential Evolution algorithm with Secondary population
Author :
Guo, Peng ; Li, Naixiang ; Liu, Tonghai
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tianjin Agric. Univ., Tianjin, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
683
Lastpage :
687
Abstract :
A self adaptive Differential Evolution algorithm with Secondary population is proposed. In selection, unselected individuals are put into secondary population, individuals in main population and secondary population evolve simultaneously and selections happen among individuals from main population, secondary population and parental individuals. Parameters self adaptations happen according to comparisons among fitness of children and their parents. Experimental results of benchmark functions show high performance of our approach.
Keywords :
evolutionary computation; benchmark function; differential evolution; parameter self-adaptation; secondary population; Benchmark testing; Convergence; Educational institutions; Fuzzy logic; Optimization; Standards; Vectors; Benchmark Function; Differential Evolution; Parameters Self Adaptation; Secondary Population;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
ISSN :
2157-9555
Print_ISBN :
978-1-4577-2130-4
Type :
conf
DOI :
10.1109/ICNC.2012.6234586
Filename :
6234586
Link To Document :
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