模糊粒子群优化算法的第四方物流运输时间优化

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Title:

Convergence fuzzy particle swarm optimization based transportation time optimization of 4PL

作者:

卢福强¹, 刘婷², 杜子超², 毕华玲¹, 黄敏²

1. 燕山大学 经济管理学院，河北 秦皇岛 066004;
2. 东北大学 信息科学与工程学院，辽宁 沈阳 816819

Author(s):

LU Fuqiang¹, LIU Ting², DU Zichao², BI Hualing¹, HUANG Min²

1. School of Economics and Management, Yanshan University, Qinhuangdao 066004, China;
2. Faculty of Information Science and Engineering, Northeastern University, Shenyang 816819, China

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

Keywords:

fourth party logistics; transportation cost; transportation time; third party online agents; convergence factor; degree of membership function; convergence fuzzy optimization; particle swarm optimization

分类号:

TP18;N945.1

DOI:

10.11992/tis.202004032

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。

Abstract:

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.