摘要
针对第四方物流运输(4PL)过程中的运输时间优化问题,本文建立了第四方物流运输时间优化模型,并设计引入收敛因子和隶属度函数的模糊粒子群优化算法(CFPSO),对运输路线和第三方代理商选择进行决策。仿真实验中设计了3个不同规模的算例,并将收敛模糊粒子群优化算法的实验结果与枚举算法、基本粒子群优化算法、遗传算法和量子粒子群优化算法的实验进行对比分析,证明了模型和算法的有效性。
This paper proposed a transportation time optimization model that employed a convergence factor and the convergence fuzzy particle swarm optimization(CFPSO)of membership functions to determine transportation routes and third party agents in the fourth-party logistics(4PL).Three examples with different scales were designed in the simulation experiment.The experimental result of the CFPSO was analyzed and compared with those of the enumeration algorithm,basic particle swarm optimization algorithm,genetic algorithm,and quantum-behaved particle swarm optimization to establish the validity of the proposed model and algorithm.
作者
卢福强
刘婷
杜子超
毕华玲
黄敏
LU Fuqiang;LIU Ting;DU Zichao;BI Hualing;HUANG Min(School of Economics and Management,Yanshan University,Qinhuangdao 066004,China;Faculty of Information Science and Engineering,Northeastern University,Shenyang 816819,China)
出处
《智能系统学报》
CSCD
北大核心
2021年第3期474-483,共10页
CAAI Transactions on Intelligent Systems
基金
国家重点研发计划项目(2020YFB1712802)
国家自然科学基金项目(71401027)
河北省高等学校人文社会科学研究项目(SQ202002).
关键词
第四方物流
运输成本
运输时间
第三方代理商
收敛因子
隶属度函数
收敛模糊优化
粒子群优化算法
fourth party logistics
transportation cost
transportation time
third party online agents
convergence factor
degree of membership function
convergence fuzzy optimization
particle swarm optimization
