摘要
引入了开放式遗传算法的理论,使种群在一个开放的环境中进化,增加了种群的多样性。同时对交叉、变异操作进行了改进,避免了进化过程中种群的退化现象,从而有效克服了遗传算法的早熟问题又提高了遗传算法的收敛性能。文章以最小误差法为例,对比了本文算法和简单遗传算法在阈值处理中的性能,并用实验证明了本文算法的可行性。
An open genetic algorithm is used to solve the prematurity and slow convergence in simple genetic algorithms, make the population process in an open environment, enhance the diversification of population, improve the intercrossing and variation operation and avoid the degradation of population. The method is compared with the minimum error method. Experiment results show that it can effectively overcome the prematurity and improve the speed of convergence.
出处
《华东理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第2期170-174,共5页
Journal of East China University of Science and Technology
关键词
阈值
最小误差法
开放式遗传算法
早熟
收敛代数
threshold
minimum error method
open genetic algorithm
prematurity
convergence times
