Fuzzy traffic signal control with DNA evolutionary algorithm  

基于DNA进化算法的模糊交通信号控制(英文)

作　　者：毕云蕊[1] 路小波[1] 孙哲[2] 曾唯理[3] 

机构地区：[1]东南大学自动化学院,南京210096 [2]浙江大学智能系统与控制研究所,杭州310027 [3]东南大学交通学院,南京210096

出　　处：《Journal of Southeast University(English Edition)》2013年第2期207-210,共4页东南大学学报（英文版）

基　　金：The National Natural Science Foundation of China(No.60972001);the Scientific Innovation Research of College Graduates in Jiangsu Province(No.CXZZ_0163);the Scientific Research Foundation of Graduate School of Southeast University(No.YBPY1212)

摘　　要：In order to optimize the signal control system, this paper proposes a method to design an optimized fuzzy logic controller （FLC） with the DNA evolutionary algorithm. Inspired by the DNA molecular operation characteristics, the DNA evolutionary algorithm modifies the corresponding genetic operators. Compared with the traditional genetic algorithm （GA）, the DNA evolutionary algorithm can overcome weak local search capability and premature convergence. The parameters of membership functions are optimized by adopting the quaternary encoding method and performing corresponding DNA genetic operators. The relevant optimized parameters are combined with the FLC for single intersection traffic signal control. Simulation experiments shows the better performance of the FLC with the DNA evolutionary algorithm optimization. The experimental results demonstrate the efficiency of the nrotmsed method.为了优化交通信号控制系统,提出了一种基于DNA进化算法的模糊逻辑控制优化方法.受DNA分子运算特征的启发,DNA进化算法修改了相应的遗传算子.与传统的遗传算法相比,它可以克服局部搜索能力小和早熟的弱点.通过采用四进制编码方式和执行相应的DNA遗传算子来优化模糊逻辑控制器隶属度函数的参数,并把优化的参数结果运用到单交叉口交通信号控制.仿真实验结果表明,DNA优化的模糊逻辑控制方法表现更好,从而证明了该方法的有效性.

关 键 词：DNA evolutionary algorithm genetic algorithm（GA） fuzzy control traffic signal control 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]