DocumentCode
2026339
Title
Studying of nonlinear genetic algorithm
Author
Cui, Zhihua ; Zeng, Jianchao
Author_Institution
Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
Volume
1
fYear
2002
fDate
2002
Firstpage
812
Abstract
Through mechanism analysis of simple GA (SGA), every genetic operator of SGA is found be equal to linear transformation of chosen individual. So the linear transformation is changed for the improvement of the algorithm capability. As a result, a new genetic algorithm-nonlinear GA (NGA) is conducted. The optimization computing of some examples is made to show that the new genetic algorithm has better global search capacity and rapid convergence rate.
Keywords
convergence; genetic algorithms; NGA; convergence; nonlinear GA; nonlinear genetic algorithm; Analytical models; Computational modeling; Computer applications; Computer simulation; Convergence; Genetic algorithms; Machinery;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1022229
Filename
1022229
Link To Document