基于遗传算法的地铁列车架大修停时与维修成本多目标组合优化方法  

Multi-objective combination optimization of subway train frame overhaul downtime and maintenance cost based on genetic algorithm

作　　者：罗旋中 张华朝 罗建强 冯旭东 LUO Xuanzhong;ZHANG Huachao;LUO Jianqiang;FENG Xudong(Zhengzhou Zhongjian Shenzhen railway rail transit Co.Ltd.,Zhengzhou 450000,China)

机构地区：[1]郑州中建深铁轨道交通有限公司,郑州450000

出　　处：《铁路计算机应用》2024年第12期75-79,共5页Railway Computer Application

摘　　要：针对缩减地铁列车架大修列车停用时间(简称:停时)和维修成本的地铁运营维护需求,提出基于遗传算法的地铁列车架大修停时与维修成本多目标组合优化方法。将地铁列车架大修停时和维修成本作为目标函数,综合考虑任务间的关联关系等关键因素,构建多目标组合的优化模型,采用遗传算法对其进行求解,获得地铁列车架大修的检修方案。基于某地铁维修数据验证了该方法的可行性,并通过与传统检修模式的对比试验,证明该方法可显著减少地铁列车架大修停时与维修成本,可为地铁列车架大修业务的前期规划和决策提供技术支持。In response to the demand for subway operation and maintenance to reduce the downtime and maintenance costs of subway train frame overhaul,this paper proposed a multi-objective combination optimization method based on genetic algorithm for subway train frame overhaul downtime and maintenance costs.The paper took the downtime and maintenance cost of subway train frame overhaul as the objective function,comprehensively considered key factors such as the correlation between tasks,and constructed a multi-objective combination optimization model,used genetic algorithm to solve it and obtained the maintenance plan for subway train frame overhaul.The feasibility of this method was verified based on maintenance data from a certain subway.Through comparative experiments with traditional maintenance modes,it was proven that this method could significantly reduce the downtime and maintenance costs of subway train frame overhaul.It can provide technical support for the early planning and decision-making of subway train frame overhaul business.

关 键 词：地铁列车架大修 作业时间 维修成本 多目标优化 资源分配 

分 类 号：U231.94[交通运输工程—道路与铁道工程] U279.33[机械工程—车辆工程] TP39[交通运输工程—载运工具运用工程]