不确定收集量下城市生活废弃物物流网络设计  

Logistics Network Design of Urban Domestic Waste Material under Uncertain Collection Amount

作　　者：程建波 李锐[1] CHENG Jianbo;LI Rui(School of Electronics&Information Engineering,Liaoning University of Technology,Jinzhou 121001,China)

机构地区：[1]辽宁工业大学电子与信息工程学院,辽宁锦州121001

出　　处：《青岛大学学报（工程技术版）》2021年第2期42-46,共5页Journal of Qingdao University(Engineering & Technology Edition)

基　　金：辽宁省自然科学基金指导计划项目(20180550300);辽宁省教育厅青年科技人才“育苗”项目(JQL202015407)。

摘　　要：为了提高城市生活废弃物物流系统的运作效率,本文主要对不确定收集量下城市废弃物物流网络设计进行研究。建立最大最小化模型,最小化所有情景下网络总成本的最大值。同时,为对问题模型进行有效求解,根据问题模型特点,设计智能优化算法。为了验证模型和算法的有效性,采用Matlab编程,对随机生成的数值算例进行实验。仿真结果表明,对于不同规模的问题森林优化算法(forest optimization algorithm,FOA)能够有效求解,并且能够保持稳定性能,说明所建立的模型,能够对问题进行合理描述,且算法能够对问题有效求解,验证了模型的合理性和算法的有效性。该研究对不确定收集量下的城市生活废弃物物流网络设计具有重要意义。In order to improve the operational efficiency of urban domestic waste material logistics system,this paper mainly studies the design of urban waste material logistics network under uncertain collection amount.A minimax model is established to minimize the maximum of the total network cost in all scenarios.At the same time,in order to solve the problem model effectively,an intelligent optimization algorithm is designed according to the characteristics of the problem model.In order to verify the validity of the model and algorithm,Matlab is used to program and test the randomly generated numerical examples.Simulation results show that the forest optimization algorithm(FOA)can effectively solve problems of different sizes and maintain stable performance,which shows that the established model can reasonably describe the problems and the algorithm can effectively solve the problems,thus verifying the rationality of the model and the effectiveness of the algorithm.This study is of great significance to the design of urban domestic waste material logistics network with uncertain collection amount.

关 键 词：废弃物物流 网络设计 不确定性 森林优化算法 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术] X71[自动化与计算机技术—计算机科学与技术]