北京市是我国的首都和人口聚集地,巨大的城市规模和人口规模给北京市带来大量的生产生活垃圾,在现有的垃圾站点部署形势下,由于站点分布密度的不合理造成了区域垃圾处理能力冗余或匮乏的情况。本文针对此问题,结合微粒群算法提出了一种基于微粒群导向虚拟力的站点部署策略,通过算法仿真分析可以看出该算法优化了站点的部署,提高了站点的覆盖率。 Beijing is the capital and population gathering place of our country. The huge urban size and population scale bring a lot of production and household waste to Beijing. Under the existing situation of depot site deployment, the regional garbage is caused by the unreasonable distribution density of the site Redundancy or lack of processing power. In this paper, we propose a site deployment strategy based on Particle Swarm Optimization (PSO), which is based on Particle Swarm Optimization (PSO). Through the simulation of the algorithm, we can see that the algorithm optimizes the deployment of the site and improves the coverage of the site.