非支配集下变异蜂群指导的智能交通控制方法  

An Intelligent Traffic Control Method Based on Guidance of Variation Bees Under Non-dominated Set

作　　者：王崇[1] 杨欣宇[1] 吴迪[1] 

机构地区：[1]齐齐哈尔大学计算机控制与工程学院计算机科学系,黑龙江齐齐哈尔161006

出　　处：《科技通报》2014年第6期149-151,共3页Bulletin of Science and Technology

基　　金：黑龙江省教育厅项目(12531759)

摘　　要：非支配集下的变异蜂群指导算法具有更加优越的自适应能力。传统的交通控制方法采用变时隙策略,无法将交通的动态信息实时的融合起来。提出了一种非支配集下基于变异蜂群指导的智能交通控制方法,采用变异蜂群指导算法,通过搜寻者不断搜寻最佳交通控制的逼近方案,通过检测者不断更新最佳交通控制的区域,通过观察者实时反馈交通调整控制信息,三者协同工作,提高了智能交通控制的效率。最后通过Sphere函数,Rastrigin函数和Rosenbrock函数分别进行测试,仿真结果显示,50种群和20种群下的蜂群指导算法均对交通具有很好的指导作用。The guidance of variation colony under non-dominated situation had more superior adaptive capacity. In the tra-ditional traffic control method, the variable slot strategy was used, and the integration of real-time dynamic information could not be transported together. An intelligent traffic control method based on guidance of variation bees under non-domi-nated situation was proposed, the variant colony guidance algorithm was used, the best approximation of traffic control scheme was constantly searched by the searchers, the optimal traffic control area was detected by observer at real-time and the traffic control information was feed back to suit to the newest situation, the three parts worked together to improve the ef-ficiency of the intelligent traffic control. Finally Sphere function, Rastrigin function and the Rosenbrock function were used to do the test experiment, and the result shows that 50 species, 20 species of bees under guidance algorithms have better guidance for intelligent traffic.

关 键 词：非支配集 变异蜂群 智能交通 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]