基于智能算法的高校智能快递柜选址问题研究

Research on Location Problem of Smart Express Cabinet in Colleges and Universities Based on Intelligent Algorithm

后疫情时代,在校园内布局智能快递柜不仅有助于疫情防控,而且还能满足师生日益增长的快递服务需求。构建以取件距离最短为目标的智能快递柜选址优化模型,并以江汉大学为研究区域,运用免疫算法与遗传算法进行智能快递柜选址研究。结果表明,免疫算法相比遗传算法而言具有更为满意的解以及更好的收敛性,并具有较好的稳键性,在高校快递柜选址问题上具有可行性和有效性。

In the post-epidemic era,the deployment of smart express cabinets on campus not only helps in the prevention and control of the epidemic,but also meets the growing demands of teachers and students for express services.In this paper,we constructed a smart express cabinet location optimization model aimed for the shortest pick-up distance,and with Jianghan University as the research area,used the immune algorithm and the genetic algorithm to study the location selection of the smart express cabinets.The result showed that the immune algorithm secured a more satisfactory solution and performed better in convergence than the genetic algorithm and had better outcome robustness,so was more feasible and effective in solving the location problem of smart express cabinets in colleges and universities.