Abstract:In this paper,an improved adaptive genetic algorithm is presented in order to resolve the problem that traditional GA is prone to premature and is ineficient in application of the standard genetic algorithm to the Multi— modal Function optimization problems in the final stage.On the basis of evalution of several common premature index for the population,a new premature index is put forward.Then an improved adaptive genetic algorithm is presented.The simulation shows our new method has faster evolution speed and robustness,and reaches a general optimal solution.
参考文献
相似文献
引证文献
引用本文
杨华芬.一种改进的遗传算法在函数优化中的应用[J].重庆工商大学学报(自然科学版),2009,(2):148-151 YAN G Hua——fen. Application of a modified genetic algorithm in function optimization[J]. Journal of Chongqing Technology and Business University(Natural Science Edition),2009,(2):148-151