摘要
考虑到多式联运路径的选择受到运输成本、运输时间、运输质量和服务水平等相关因素的影响,将多式联运的路径优化问题转化成为一个广义最短路径问题,以成本和时间为优化目标建立了适应运量变化情况下的多式联运路径优化数学模型,并选择蚁群算法对实际问题进行了求解验证。
Taking into consideration the impact on route selection of multi-modal transportation by factors such as the cost, time, quality and service level of transportation, etc., the paper converts the routing problem into the general problem of the shortest path and establishes the methametical model for the problem that aims at the optimization of cost and time with varying transport volume, whose solution is realized through ant colony algorithm.
出处
《物流技术》
2010年第5期57-60,共4页
Logistics Technology
基金
国家自然科学基金项目(60870012)
铁道部科技研究开发计划项目(2008X027-A)
关键词
多式联运
路径优化
最短路径
蚁群算法
multi-modal transportation
route optimization
shortest path
ant colony algorithm
