铁路运输管理中的多机模糊排序问题及遗传算法研究

Fuzzy Scheduling Problem with Multi-Processors Using Genetic Algorithm for Railway Management

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 addressed a fuzzy scheduling problem with multi-processors in the fields of railway management system. A case study considered here involves how to cope with multi-decisions in railyards dispatching plan. A fuzzy dispatching model is developed and genetic algorithms are designed to investigate and analyze the fuzzy scheduling problem. Experimental results based on real-world problem instances show that the combined, genetic algorithms and fuzzy theory approaches, could be a promising way for improving railway management.