基于改进蚁群算法的应急物资集成调度研究
Emergency Materials Integrated Scheduling Based on Improved Ant Colony Algorithm
针对当前应急物资调度过多关注从集配点到需求点的问题,构建了供应点-集配点-需求点的三级集成模型,建立了满足多约束条件的多供应点物资供应情况下的集配点选择模型,建立了满足多约束条件的多需求点情况下的集配点-需求点配送调度模型,运用改进蚁群算法解决优化问题。经过多次实验和计算,有效解决了应急物资集成调度优化问题。
In view of the current research of emergency materials scheduling focusing too much on the "distribution centers - demand points" materials scheduling problems, this paper proposes a three-level integrated model of the supply points, distribution centers and demand points. Firstly, a selection model of distribution centers is developed to satisfy several constrained conditions in the case of multiple supply points. Secondly, for multiple demand points, a "distribution centers - demand points" logistic distribution scheduling model is built to meet several restricted conditions. Finally, an improved ant colony algorithm is designed to solve this optimization problem. After several experiments and calculations, the result shows the models and algorithm can solve the optimization problem of emergency materials integrated scheduling effectively.
刘爱军、王方、李华
综合运输自动化技术、自动化技术设备计算技术、计算机技术
应急物资集成调度路径优化蚁群算法
emergency materialsintegrated schedulingrouting optimizationant colony algorithm (ACA)
刘爱军,王方,李华.基于改进蚁群算法的应急物资集成调度研究[EB/OL].(2014-12-24)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/201412-711.点此复制
评论