基于改进多目标粒子群优化算法的企业再制造物流网络优化  

Enterprise ramanufacturing logistics network optimization based on modified multi-objective particle swarm optimization algoirthm

作　　者：李莉[1] 程发新[1] 程显钦 王广东 潘婷 LI Li;CHENG Faxin;CHENG Xianqin;WANG Guangdong;PAN Ting(School of Management,Jiangsu University,Zhenjiang 212013,China;School of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China;China United Cement Zaozhuang Co.,Ltd.,Zaozhuang 277143,China)

机构地区：[1]江苏大学管理学院,江苏镇江212013 [2]东北林业大学信息与计算机工程学院,黑龙江哈尔滨150040 [3]枣庄中联水泥有限公司,山东枣庄277143

出　　处：《计算机集成制造系统》2018年第8期2122-2132,共11页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(71673118)~~

摘　　要：为解决碳税政策下的多目标企业再制造物流网络优化问题,综合考虑设施选址与运输方式选择,建立了总成本和碳排放最小化的混合整数规划模型。设计了约束处理机制改进多目标粒子群优化算法,并结合水泥企业运营管理数据验证了模型和算法的有效性。将改进多目标粒子群算法与第二代约束非支配排序遗传算法比较,凸显了改进多目标粒子群算法在求解中、大规模问题时的优越性。To solve the multi-objective enterprise remanufacturing logistics network optimization problem under the carbon tax policy,a mixed integer programming model with minimum total cost and carbon emission was established by considering facilities location and transportation modes.The constraint handling mechanism was designed to modify the multi-objective particle swarm optimization algorithm,and the effectiveness of model and algorithm were verified with the operation data of cement enterprise.Through comparing the modified multi-objective particle swarm algorithm with constrained non-dominated sorting genetic algorithm-Ⅱ,the superiority of modified multi-objective particle swarm optimization algorithm in solving sophisticated problems was verified.

关 键 词：再制造 物流网络优化 混合整数规划 改进多目标粒子群优化算法 

分 类 号：F272[经济管理—企业管理]