基于遗传算法的轨道状态最优综合维修计划模型改进

Designing of Optimization Track Synthetical Maintenance Plan Model Based on Genetic Algorithms

铁路高速化、重载化的条件下,为了使轨道平顺状态处于良好的情况之内,采用大型养路机械进行作业和制订最优养护维修计划是十分重要的.本文在0-1整数型轨道状态最优综合维修计划模型的基础上,建立了基于遗传算法的模型设计,提出了解决这种大规模优化问题的途径,从算法角度上解决了轨道不平顺状态计算机辅助决策系统的关键问题.

In order to realize efficient maintenance in track irregularity to adapt to the request of railway high-speed and heavy-load, it is important to use large-scale maintenance machines and build optimization track synthetical maintenance plan model. In this paper, based on 0-1 integral optimization track synthetical maintenance plan model, genetic algorithms-based model design and solution method were analyzed. The key problems of computer aided by decision-making system of track irregularity were solved from arithmetic aspect.