摘要
以往的垃圾中转站选址模型大多仅考虑费用最小的单目标规划,而没有考虑到对周围环境和居民带来的不利影响.本文根据城市生活垃圾收运系统的特点,建立了基于逆向物流网络的多目标垃圾中转站选址模型,同时考虑了总费用最小、垃圾收集点距对应的中转站的总距离最小和处理中心距居民区的最小距离最大化三个优化目标.采用一种基于SPEA2的多目标进化算法来求解,通过选择合适的编码方法和进化算子可以得到模型的最优解,并通过一个实际算例说明了模型和算法的有效性.该模型能一次得到多组有效解,从而可以为垃圾收运系统的优化选址提供更加全面的决策支持.
In most previous models of the location of solid waste transfer stations,only the minimum cost was considered without taking into account the adverse effects on the surrounding environment and residents.With regard to the characteristics of the collection and transportation system of urban life waste,a multi-objective model of site selection of solid waste transfer stations was establish,based on a reverse logistics network.It considered the minimum total cost,the minimum total distance between Pitch corresponding and the garbage collection transfer station,and maximized minimum distance between residential areas and Waste disposal centers.A multi-objective evolutionary algorithm,based on SPEA2,was proposed to solve the problem.The optimal solutions to the model were derived by selecting the appropriate encoding method and genetic operators.A practical example shows the validity of the model and algorithm,and that this model can provide several efficient solutions in one generation,giving more comprehensive support to decision-makers.
出处
《广东工业大学学报》
CAS
2011年第2期76-80,共5页
Journal of Guangdong University of Technology
关键词
城市垃圾
中转站
选址
逆向物流
进化算法
urban solid waste
transfer station
location selection
reverse logistics
evolutionary algorithm
