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基于改进遗传算法的乘务交路优化问题研究
Using an improved genetic algorithm to optimize trainman routine
【Author】 LAI Mei, XIONG Li-rong (Key Lab. of Software Development Environment, Zhejiang University of Technology, Hangzhou 310014)
【机构】 浙江工业大学软件开发环境重点实验室;
【摘要】 在对铁路乘务组织进行深刻分析的基础上,讨论了列车人力资源合理利用的背景和由来,分析了综合优化的目标及内在关系,定义了相关的参数,构造了基于条件约束的乘务交路优化模型。最后用基于排序的改进遗传算法对模型进行了仿真计算。
【Abstract】 Based on profound analysis of trainman organization in railway hub. the motivation and origin for the rational exploitation problem of trainman resources in railway hub is discussed, the optimal objectives and internal relation are analyzed, and parameters that correspond to the problem are defined. A new comprehensive optimization model that based on some constraints is built. At last, simulation calculation for the model is achieved by using improved genetic algorithm based on sorting.
【Key words】 improved genetic algorithm; trainman routine; optimization model;
- 【会议录名称】 第二十一届中国控制会议论文集
- 【会议名称】第二十一届中国控制会议
- 【会议时间】2002-08
- 【会议地点】中国浙江杭州
- 【分类号】TP18
- 【主办单位】中国自动化学会控制理论专业委员会