摘要
针对目前烟草商业企业的物流配送中存在的问题,提出用仿生学的蚁群优化算法对卷烟配送路径的选择进行优化,以基本的蚁群优化算法模型和原理为理论基础,建立了相应的数学模型,并结合某烟草公司的案例对本算法的应用进行了计算机仿真,实验结果表明该算法在求解卷烟配送的路径优化问题上是行之有效的。
In view of the problems in the distribution practice of commercial cigarette enterprises, the paper proposes to optimize cigarette distribution routes using ant colony algorithm, and formulates the relevant mathematical model which is applied in a case study on a certain tobacco company, with results indicating the effectiveness of the algorithm.
出处
《物流技术》
2011年第3期69-72,共4页
Logistics Technology
关键词
卷烟配送
蚁群算法
路径优化
仿真
cigarette distribution
ant colony algorithm
route optimization
simulation
