A Novel Train Traffic Control Method Based on Time Petri Nets And Immune Quantum Optimization Algorithm

摘要：

In this paper, a novel train traffic control method based on time Petri nets and immune quantum optimization algorithm is proposed. Considering the time uncertainty and self_adjustment in the train running process, first of all, the time Petri net is used to simulate the train operation system. Because the quantum antibody code has high parallel performance in nature, the immune quantum optimization algorithm is used to search the global best solution. Experimental results show that the algorithm can speed up the search procession, which can overcome the problem that the ordinary search method is easy to trap in local optima to some extent.

关键词： time Petri net immune quantum train traffic control train operation optimization

作者: Wang Fei-jie Bai Zhong-ying

作者单位: School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, 100876

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 273-277

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）