基于混合量子遗传算法的外贸企业物流配送车辆优化调度  

Optimal scheduling of logistics distribution vehicles in foreign trade enterprises based on hybrid quantum genetic algorithm

作　　者：赵辉[1] ZHAO Hui(Jiangsu Vocational College of Business,Jiangsu Nantong 226011,China)

机构地区：[1]江苏商贸职业学院,江苏南通226011

出　　处：《齐齐哈尔大学学报（自然科学版）》2021年第1期26-30,35,共6页Journal of Qiqihar University(Natural Science Edition)

基　　金：江苏省高等教育教改研究立项课题(2017JSJG404)江苏高校“青蓝工程”资助。

摘　　要：为了提高外贸企业物流配送车辆调度能力,提出基于混合量子遗传算法的外贸企业物流配送车辆优化调度算法。构建外贸企业物流配送车辆路径规划的地图网格模型,采用混合量子遗传算法进行外贸企业物流配送车辆调度的信息模拟,构建外贸企业物流配送车辆的移动规则模型,进行外贸企业物流配送车辆调度的路径规划。结合信息素导引方法进行外贸企业物流配送车辆优化调度的自适应控制,构建外贸企业物流配送车辆优化调度的混合量子遗传进化寻优模型,根据混合量子遗传路径约束寻优方法构建外贸企业物流配送车辆优化调度的人工智能算法,实现外贸企业物流配送车辆优化调度和人工智能控制。仿真结果表明,采用该方法进行外贸企业物流配送车辆调度的寻优能力较好,路径规划能力较强,提高了车辆调度效能。In order to improve the vehicle scheduling ability of foreign trade enterprises,a hybrid quantum genetic algorithm is proposed to optimize the vehicle scheduling of foreign trade enterprises.This paper constructs a map grid model of foreign trade enterprise logistics distribution vehicle routing planning,uses hybrid quantum genetic algorithm to simulate the information of foreign trade enterprise logistics distribution vehicle scheduling,constructs the mobile rule model of foreign trade enterprise logistics distribution vehicle,and carries out the path planning of foreign trade enterprise logistics distribution vehicle scheduling.Combined with pheromone guidance method,the adaptive control of foreign trade enterprise logistics distribution vehicle optimal scheduling is carried out,and the hybrid quantum genetic evolution optimization model of foreign trade enterprise logistics distribution vehicle optimal scheduling is constructed.According to the hybrid quantum genetic path constraint optimization method,the artificial intelligence algorithm of foreign trade enterprise logistics distribution vehicle optimal scheduling is constructed,and the foreign trade enterprise logistics distribution vehicle optimization is realized scheduling and artificial intelligence control.The simulation results show that the optimization ability and path planning ability of this method are better,and the vehicle scheduling efficiency is improved.

关 键 词：混合量子遗传算法 外贸企业 物流配送 优化调度 人工智能 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]