Title :
Studying of nonlinear genetic algorithm
Author :
Cui, Zhihua ; Zeng, Jianchao
Author_Institution :
Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022229
