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基于遗传算法的铁路旅客列车开行路径优化的研究
Research on optimization of railway passenger train path based on genetic algorithms
【摘要】 在影响旅客列车运行效益的诸多因素中,着重研究了旅客列车开行线路的选择,分析传统的最短路径算法的不足,提出利用遗传算法求解路网中任意两点间k条最优路径,并进行仿真计算,取得较好效果,结果表明利用这一方法有利于旅客列车开行方案多方案比选,辅助运营决策。
【Abstract】 In the some factors,it was researched the path selection of passenger train,analyzed the shortcomings of traditional shortest path algorithms,and presented a genetic algorithm for k optimal paths in rail network,through the simulation experiments,the good results could be achieved.With the method,it would be helpful for comparison and choice of many passenger train plan,assistants operation decision.
【关键词】 旅客列车;
开行方案;
最短路径;
遗传算法;
经济效益;
【Key words】 passenger train; train plan; shortest path; genetic algorithms; benefit-cost;
【Key words】 passenger train; train plan; shortest path; genetic algorithms; benefit-cost;
- 【文献出处】 铁路计算机应用 ,Railway Computer Application , 编辑部邮箱 ,2006年12期
- 【分类号】TP18
- 【被引频次】28
- 【下载频次】294