低碳闭环物流网络模糊目标规划模型及算法  

Fuzzy goal programming model and algorithm of low carbon closed loop logistics network

作　　者：李伯棠 赵刚[1] 张鑫 LI Botang;ZHAO Gang;ZHANG Xin(College of Transport & Communications,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学交通运输学院

出　　处：《计算机集成制造系统》2019年第8期2087-2100,共14页Computer Integrated Manufacturing Systems

基　　金：上海海事大学研究生创新基金资助项目(2016ycx066)~~

摘　　要：为了解决模糊环境下的低碳闭环物流网络设计问题,综合考虑网络中的模糊性、碳排放和响应能力问题,对于设施是否联合以及设施选址和节点间的运输路线决策,采用具有不同重要性和优先级的模糊目标规划方法,以最小化物流成本、最少化碳排放量和最大化响应能力为目标,建立了闭环物流网络模糊混合线性规划模型。根据问题的特点,以MATLAB为平台,编写了一个基于路线编码的遗传算法代码,分别利用遗传算法和CPLEX对若干算例的求解结果进行对比分析,结果验证了所提遗传算法的可行性,并通过例子验证了模糊目标规划模型可以解决3个目标之间的冲突,表明了其决策的有效性和实用性。To solve the design of low-carbon closed-loop logistics network in fuzzy environment,by considering the problem of fuzziness,carbon emissions and response capability in the network,a fuzzy linear programming model of closed-loop logistics network was established for the decision of facilities combination the location and transportation routes between nodes.It used fuzzy goal programming method with different importance and priority to minimize the logistics cost and carbon emissions and maximize response ability.According to the characteristics of the problem,the code based on route coding genetic algorithm was written in MATLAB.By using the genetic algorithm and CPLEX,the several numerical examples results were compared and analyzed,and the result verified the feasibility of the proposed genetic algorithm.The case verified the fuzzy goal programming model could solve the conflict betwee three objectives,and the analysis indicated the effectiveness and practicability of decision.

关 键 词：遗传算法 闭环物流 模糊目标规划 碳排放 网络规划 

分 类 号：F224[经济管理—国民经济] F272.5