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本文研究铁路管理中的多机模糊排序问题,案例背景源于铁路编组站调度计划编制中的多目标决策情形,通过对调度计划中有关概念的模糊化定义,建立了该问题的模糊混合0-1规划模型,遗传算法被用来分析与处理此模糊排序问题。实例计算表明,模糊优化与遗传算法为进一步改进铁路管理质量提供了新的解决途径与方法。
This paper studies the problem of multi-machine fuzzy sort in railway management. The case background comes from the situation of multi-objective decision-making in the planning of railway marshalling station. By fuzzily defining the relevant concepts in the scheduling plan, the fuzzy hybrid 0- 1 planning model, genetic algorithm is used to analyze and deal with this fuzzy sorting problem. The case study shows that fuzzy optimization and genetic algorithm provide a new way and method to further improve the quality of railway management.