摘要
逆向物流网络优化研究中缺乏对客户满意度、成本、环境因素的综合考虑,将物流成本、顾客服务时间、回收站对回收产品的服务覆盖率以及碳排放作为电子产品回收逆向物流的优化目标,构建多目标优化模型。针对求解该模型中所遇到的收敛性与多样性等不平衡问题,引入改进双档案算法(Two-archive 2)对模型进行求解。仿真结果表明,所引入的算法可同时保证最优解的多样性、收敛性,并降低复杂度。
Due to the lack of overall consideration of customer satisfaction,cost and environmental factors in the research of network optimization of reverse logistics,logistics cost,customer service time,service coverage of recycling stations and carbon emission are taken as the optimization objectives of electronic products recycling reverse logistics to build a multi-objective optimization model.An improved two-archive algorithm(Two-archive 2)is employed for the problem of unbalanced between convergence and diversity in this model.The simulation results show that the introduced algorithm can guarantee the diversity and convergence of the optimal solution,and reduce the complexity at the same time.
作者
潘华贤
PAN Huaxian(School of Economics and Statistics,Xingzhi College of Xi’an University of Finance and Economics,Xi’an 710038,China)
出处
《微型电脑应用》
2023年第11期19-21,26,共4页
Microcomputer Applications
基金
国家自然科学基金(61973042)
陕西省科技计划项目(2022JM-332)
西安财经大学行知学院校级课题(17KY01)。
关键词
逆向物流
多目标优化
电子产品回收
碳排放
reverse logistic
multi-objective optimization
electronics recycling
carbon emission
