基于Memetic算法的闭环物流网络模糊规划模型  

Fuzzy programming model of closed-loop logistics network based on Memetic algorithm

作　　者：张鑫 赵刚[1] 齐颖秀 李伯棠 ZHANG Xin;ZHAO Gang;QI Yingxiu;LI Botang(College of Transport&Communications,Shanghai Maritime University,Shanghai 201306,China;School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Department of Port&Shipping Management,Guangzhou Maritime University,Guangzhou 510330,China)

机构地区：[1]上海海事大学交通运输学院,上海201306 [2]北京交通大学交通运输学院,北京100044 [3]广州航海学院港口与航运管理学院,广东广州510330

出　　处：《计算机集成制造系统》2020年第9期2590-2602,共13页Computer Integrated Manufacturing Systems

基　　金：上海海事大学研究生拔尖创新人才培养资助项目(2019YBR016)。

摘　　要：综合考虑多级物流网络参数的模糊性以及设施选址及设施间流量的选择决策,以最小化物流网络的总成本为目标,采用基于可信性理论的期望值规划和机会约束规划方法,构建了目标和约束条件双重模糊的闭环物流网络模糊规划模型。根据问题的特点,以MATLAB为平台,编写一个基于双层优先级编码的Memetic算法代码,并分别利用算法和LINGO对若干算例的求解结果进行了对比分析。结果验证了所提算法的可行性,并就置信水平的变化进行了分析,表明了模糊规划模型的实用性。Considering the fuzziness of multi-level logistics network parameters and the decision-making of facility location and inter-facility flow,and aiming at minimizing the total cost of logistics network,a closed-loop logistics network fuzzy rule with fuzziness objectives and constraints was constructed by using the method of expectation planning and chance-constrained programming based on credibility theory.According to the characteristics of the problem,a code based on bi-level priority encoding Memetic algorithm was wrote in MATLAB.By using the Memetic algorithm,Genetic algorithm and LINGO,the results of several numerical examples were compared and analyzed.The result verified the feasibility of the proposed Memetic algorithm,and the analysis included the variation of confidence level showed that the fuzzy programming model was applicable.

关 键 词：可信性理论 闭环物流 模糊规划 MEMETIC算法 网络规划 

分 类 号：F224[经济管理—国民经济] F272.5