摘要
针对冷链运输过程中的车辆遇到障碍物的路径优化问题,本文讨论基于蚁群算法对车辆路径进行优化设计。实验结果表明基于蚁群算法的路径最优化设计使得冷链运输公司的运输成本得到降低,并提高了运输效率。
In view of the path optimization problem of vehicles encountering obstacles in the process of cold chain transportation,the optimization design of vehicle paths is carried out based on ant colony algorithm in this paper,The experimental results show that the optimal route design based on colony algorithm can reduce the transportation cost and improve the transportation efficiency of the cold chain transportation company.
作者
曾胜
戴贤君
倪天伟
胡徐胜
滕官宏伟
ZENG Sheng;DAI Xian-jun;NI Tian-wei;HU Xu-sheng;TENG GUAN hong-wei(School of Electronical Information Engineering,Wanjiang University of Technology,Maanshan 243000,Anhui;School of Life Sciences,China Jiliang University,Hangzhou 310018;Army Equipment Department of the People’s Likeration Army,Zhuzhou 412000,Hunan,China)
出处
《合肥学院学报（综合版）》
2022年第2期38-43,共6页
Journal of Hefei University：Comprehensive ED
基金
安徽马鞍山无线传感器网络科学技术中心项目“面向WSN无人机控制系统对巢湖水位的监测及灾害车辆调度运输设计”(WSN201901)
江苏省科技厅产业前瞻与共性关键技术项目“分布式光储智慧能源发电预测与协调控制关键技术研究与示范”(BE2017063)资助。
关键词
障碍物
图像处理
蚁群算法
obstacles
image processing
ant colony algorithm
