摘要
在阐述运输规划模型建模思路和算法的基础上,针对物流网络中的运输配送问题对运输规划模型进行设计,通过引入价值函数,构建运输品类数量和到达时间价值函数的双层目标规划模型,采用遗传算法对上述模型的最优近似解进行求解。经过实例分析,根据各需求点运输品类需求情况计算各个需求点之间的行驶时间及各条路线到达需求点的时间,得到相应的最佳运输路线,结果表明该算法可行。
Based on expounding the modeling idea and algorithm of transportation planning model, targeting with the problems of transport delivery in logistic network, the transportation planning model is designed, and then, a bi-level objective model combined with category number of transport products and cost function of arrival time is established and the optimized approximate solution of the model is solved by using genetic algorithm. Through example analysis, according to demand status of transport product category in each demand point, the running time among each demand point and the time of each line arriving the demand point are calculated, then relative optimum transport route is achieved, so the study result shows this calculation method is feasible
出处
《铁道运输与经济》
北大核心
2016年第7期53-56,92,共5页
Railway Transport and Economy
基金
甘肃省自然基金项目(1506RJZA079)
关键词
运输规划
价值函数
遗传算法
Transportation Planning
Cost Function
Genetic Algorithm
