CAJ | 학술논문

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。
비지배집하적변이봉군지도산법구유경가우월적자괄응능력。전통적교통공제방법채용변시극책략，무법장교통적동태신식실시적융합기래。제출료일충비지배집하기우변이봉군지도적지능교통공제방법，채용변이봉군지도산법，통과수심자불단수심최가교통공제적핍근방안，통과검측자불단경신최가교통공제적구역，통과관찰자실시반궤교통조정공제신식，삼자협동공작，제고료지능교통공제적효솔。최후통과Sphere함수，Rastrigin함수화Rosenbrock함수분별진행측시，방진결과현시，50충군화20충군하적봉군지도산법균대교통구유흔호적지도작용。
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.