摘要
蚁群算法具有十分广阔的应用前景,但蚁群算法在求解路径优化问题中存在收敛速度慢、易陷于局部最优路径等缺点。文章通过改进传统的蚁群算法,使蚁群算法求最优解的性能显著提升,大幅提高了物流配送的效率。
Ant colony algorithm has a very broad application prospects. However, the ant colony algorithm has some shortcomings such as slow convergence speed and easy to trap the local optimal path in solving the path optimization problem. In this paper, by improving the traditional ant colony algorithm, the ant colony algorithm is improved greatly in the performance of the optimal solution, which greatly improves the efficiency of logistics distribution.
出处
《无线互联科技》
2017年第12期137-138,共2页
Wireless Internet Technology
基金
2017年中国物流学会
中国物流与采购联合会研究课题
项目名称:基于禁忌搜索算法的车辆协作与路径规划研究
项目编号:2017CSLKT3-071
关键词
VRP
蚁群算法
路径优化
算法改进
Vehicle Routing Problem
ant colony algorithm
path optimization
algorithm improvement
