Title :
Dynamic circle nonlinear genetic algorithm
Author :
Cui, Zhi-hua ; Zeng, Jlan-chao ; Xu, Yu-bin
Author_Institution :
Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
Abstract :
Through mechanism analysis of simple genetic algorithm (SGA), every genetic operator is considered as a linear transform. So some disadvantages of SGA is solved if genetic operators are modified to nonlinear´ transform. According to the above method, the nonlinear genetic algorithm is introduced, and different nonlinear genetic operators with some probability are designed and applied to numerical optimization problems. The optimization computing of some examples is made to show that the new genetic algorithm is useful and simple.
Keywords :
genetic algorithms; inference mechanisms; probability; dynamic circle nonlinear genetic algorithm; genetic operators; linear transform; mechanism analysis; nonlinear mutation operator; numerical optimization problems; probability; simple genetic algorithm; Algorithm design and analysis; Analytical models; Area measurement; Computational modeling; Computer applications; Computer simulation; Genetic algorithms; Genetic mutations; Machinery; Nonlinear dynamical systems;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259795
