多品类生活垃圾收运的车辆路径优化问题研究  

Research on vehicle route optimization for collection and transportation of multi-category domestic waste

作　　者：贾焙皓 JIA Beihao(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《智能计算机与应用》2021年第1期114-118,122,共6页Intelligent Computer and Applications

摘　　要：近年来随着中国逐步制定并开展垃圾分类的政策法规,多品类生活垃圾分类收运问题就逐步凸显出来。国内使用多车舱车辆收运多品类生活垃圾的研究还较少,针对这一需求,本文基于生活垃圾分类利用多车舱垃圾收运车辆同时收运多品类生活垃圾的收运问题,以降低城市生活垃圾收运成本为目标,构建考虑车辆收运成本的多品类垃圾收运车辆的路径优化模型,并进行仿真实验,用蚁群算法对算例进行求解,验证了算法模型的良好寻优效果,为新式垃圾车辆的投产使用提供参考。In recent years,as China has gradually formulated and implemented waste classification policies and regulations,the problem of the classification and transportation of multi-category domestic waste has gradually become prominent.Domestic research on the use of multi-cabin vehicles to collect and transport multi-category domestic waste is still rare.In response to this demand,this article is based on the classification of domestic waste and uses multi-cabin waste collection and transportation vehicles to simultaneously collect and transport multi-category domestic waste to alleviate the problem of collection and transportation.The cost of collection and transportation of municipal solid waste is the goal.The route optimization model of multi-category waste collection and transportation vehicles considering the cost of vehicle collection and transportation is constructed,and simulation experiments are carried out.The ant colony algorithm is used to solve the example,which verifies the good optimization of the algorithm model.The effect provides a reference for the production and use of new garbage vehicles.

关 键 词：生活垃圾收运 多品类 车辆路径优化 蚁群算法 

分 类 号：X799.3[环境科学与工程—环境工程]