摘要
为进一步提升物流配送效率,文章提出一种混合优化算法,首先对传统的规划算法进行简单的介绍,根据遗传算法在局部搜索方面的劣势,以及模拟退火算法在局部搜索方面的优势,构建物流配送混合模型;然后结合GIS电子地图,文章以实际区域的某物流单车配送为例,对上述的混合模型进行仿真,从而得到该车辆的最优配送路径图。
In order to further improve the efficiency of logistics distribution, this paper proposes a hybrid optimization algorithrn. Firstly, a brief introduction to the traditional planning algorithms is given, according to the the disadvantages of genetic algorithm in the local search and the advantages of simulated annealing algorithm in the local search, the logistics distribution hybrid model is built： then combined with GIS map, taking the actual the area of a single logistics distribution as an example, the above hybrid model is simulated in this paper, in order to get the optimal distribution route map of the vehicle.
出处
《无线互联科技》
2017年第15期127-128,共2页
Wireless Internet Technology
关键词
GIS
物流配送
遗传算法
退火算法
单车配送
GIS
logistics distribution
genetic algorithm
annealing algorithm
bicycle delivery
