DocumentCode :
1560902
Title :
Nonlinear optimal selection based on niche evolution algorithm
Author :
Zhang, Kai ; Cai, Feng ; Shi, Aiguo ; Zhou, Bo ; Zhang, Yongsheng
Author_Institution :
Zhenjiang Watercraft Coll., China
Volume :
3
fYear :
2004
Firstpage :
2227
Abstract :
In multidimensional nonlinear optimal selection, Genetic Algorithm is often unable to get all global solutions, and needs a long time to solve problems with continuous variables. So a nonlinear optimal selection model based on multidimensional niche evolution algorithm (NEA) was proposed, and its parameters selection principal was also discussed. Computer simulations successfully demonstrates that this model has virtue of speediness high efficiency and good robustness, and it can successfully find out all those global optimal results in complicated nonlinear optimal selection.
Keywords :
digital simulation; genetic algorithms; computer simulation; genetic algorithm; multidimensional niche evolution algorithm; multidimensional optimal selection; nonlinear optimal selection; parameter selection principal; robustness; Computational modeling; Computer simulation; Educational institutions; Evolutionary computation; Genetic algorithms; Multidimensional systems; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1341984
Filename :
1341984
Link To Document :
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