摘要
医药配送规划已成为一项急需解决的重要研究问题。首先分析医药配送问题的特征,针对该问题提出带约束条件的数学模型,确定达到医药配送路径最佳方案的适应值函数,然后提出基于人工萤火虫的混合算法对模型进行寻优。仿真实验显示,该算法可以有效地找到医药配送问题的最佳方案,不仅节约了成本,而且提高了药物配送的运作效率,为解决医药配送问题提供了有价值的参考。
Pharmaceutical distribution planning has become an important research question needed to resolve. Firstly, the characteristics of the pharmaceutical distribution problems were analyzed in this paper. The mathematical model with constraints was put forward and the fitness function to achieve the best solution of the pharmaceutical distribution routing was determined. And then a hybrid algorithm based on artificial glowworm swarm optimization algorithm was proposed to the model optimization. Simulation results show that the proposed algorithm achieves the best solution to pharmaceutical distribution problems effectively. It not only can save costs, but also improve the operational efficiency and provide a valuable reference to solve this kind of problem.
出处
《计算机科学》
CSCD
北大核心
2014年第2期267-269,301,共4页
Computer Science
基金
江苏省科技支撑计划项目-工业部分(BE2011012)
江苏省科技支撑计划项目-工业部分(BE2012184)
国家自然科学基金青年基金项目(81001640)资助
关键词
医药配送
路径规划
萤火虫算法
混合算法
Pharmaceutical distribution,Routing optimization,Artificial glowworm swarm algorithm, Hybrid algorithm
