摘要
高速铁路建成后客运通道内的线路组成要素及线路功能将发生较大变化,旅客列车在通道内的线路选择方案也需要进一步优化。采用蚁群算法(ACO)对旅客列车的线路选择进行了设计,给出了转移概率及信息量更新方法,并采用对每个蚁群单独寻优的思路,制定了相应的求解策略。经过实例验证,取得了较好的结果,为今后基于路网条件下的旅客列车线路选择方案决策优化提供了一种新的参考方法。
After the completion of the high-speed railway line elements within the passenger corridor and line tunctlons Will be changed greatly, schedule of passenger trains in the passenger corridor also needs to be further optimized. Ant Colony Optimiza- tion algorithm （ACO） is adopted in passenger train route selection and optimization, and the updating methods of transition prob- ability and information are provided. The corresponding solution tactics have been made by optimization for every ant colony. The example proves that better result is received. Based on the route selection and decision optimization, it provides a new refer- ence method of the passenger train route selection and decision optimization under the conditions of the railway network.
出处
《计算机工程与应用》
CSCD
2013年第11期11-14,139,共5页
Computer Engineering and Applications
基金
国家自然科学基金(No.61203175)
汽车测控与安全四川省重点实验室(西华大学)开放研究基金资助项目(No.Szjj2012-009)
综合运输四川省重点实验室开放基金项目(No.B01B1201)
西华大学2010年校重点基金项目(No.Z1020308)
关键词
旅客列车
线路选择
蚁群算法
决策优化
求解
passenger train
route selection
ant colony optimization algorithm
decision optimization
solution
