摘要
本文针对城市区域内物流配送系统,研究了基于人工免疫算法和模拟退火TSP的方法的优化配送模式。以城市建成区为例,利用初选的34个空中载运地面基站,确定各备选基站负责范围内人口数量,结合具有GPS定位远程控制功能的空中载运工具,建立了11个空中载运地面站点,以所选站点为基础,结合模拟退火TSP规划方法确定配送中心空中载运工具飞行路径,可达到中心空中载运工具与各站点空中载运工具系统性结合配送的目的。根据模式的需求,建立了空中载运工具远程控制系统和站点交叉协调系统,可实现物流配送时间最短、多点同时、提高配送效率的目标。
Aiming at the logistics distribution system in urban area, this paper studies the optimized distribution mode based on artificial immune algorithm and simulated annealing TSP method.Taking the urban built-up area as an example, using the first selected 34 air carrier ground base stations to determine the population number of the selected base stations in charge of the range, and combined with the air carrying tools with GPS positioning remote control function, 11 air carrying ground stations are established, based on the selected sites and combined with the simulated annealing TSP planning method.The flight path of the aerial vehicle of the distribution center can achieve the purpose of the systematic combination of the central air transport tools and the air transportation tools of the stations.According to the demand of the model, the remote control system of the air carrier and the cross coordination system of the site are set up, which can realize the shortest and multi point at the same time and improve the efficiency of distribution.
作者
陈建锋
郭子龙
白林柱
汪承杰
郭旻昊
赵伟
CHEN Jianfeng, GUO Zilong ,BAI Linzhu ,WANG Chengjie, GUO Minhao ,ZHAO Wei(College of Electrical and Mechanical Engineering, Henan University of Science and Technology,Luoyang Henan 47100)
出处
《河南科技》
2018年第5期15-18,共4页
Henan Science and Technology
基金
河南科技大学大学生研究训练计划(SRTP)项目(2017055)
关键词
空中载运
物流配送
免疫算法
模拟退火TSP
air borne vehicle；urban logistics distribution；immune algorithm；simulated annealing TSP
