Study of Logistics Distribution in the Complex Road Network

WU Jie-ming; LI Yu-qi; WAN Li

Chinese

您当前的位置：

首页 >

文章列表页 >

Study of Logistics Distribution in the Complex Road Network

更新时间：2026-09-04

- Study of Logistics Distribution in the Complex Road Network
- Vol. 28, Issue 7, Pages: 183-186(2011)
- 作者机构：
  
  梧州学院机构计算机科学系,广西,梧州,543002
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
吴洁明, 李余琪, 万励. 复杂路网条件下的物流配送方案研究[J]. 微电子学与计算机, 2011, 28(7): 183-186.

WU Jie-ming, LI Yu-qi, WAN Li. Study of Logistics Distribution in the Complex Road Network[J]. 2011, 28(7): 183-186.
吴洁明, 李余琪, 万励. 复杂路网条件下的物流配送方案研究[J]. 微电子学与计算机, 2011, 28(7): 183-186. DOI：

WU Jie-ming, LI Yu-qi, WAN Li. Study of Logistics Distribution in the Complex Road Network[J]. 2011, 28(7): 183-186. DOI：

摘要

为了有效提高在复杂路网条件下物流配送路径优化效率

文中提出了采用蚂蚁算法复杂路网条件下物流配送路径优化算法.算法运用Repast Simphony仿真平台和GIS技术

对复杂路网条件下的城市物流配送进行仿真实验.实验结果表明

该物流配送方案可以较好地解决了复杂路网条件下的车辆路径问题(VRP)难题

同时仿真实验模型简单

具有非常优越的可扩展性能.

Abstract

In order to improve conditions in the complicated network path optimization efficiency logistics distribution

this paper proposes using ant algorithm complex network conditions logistics distribution path optimization algorithm.Algorithm utilizes Repast Simphony simulation platform and GIS technology

under the conditions of complex network city logistics distribution simulation experiment.The experimental results show that the proposed scheme of logistics distribution can well solve the complex network conditions

and simulation experiment VRP problem

have the very model simple superior extensible performance.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Aerial small object detection algorithm based on improved RT-DETR

Microservices anomaly detection based on the correlation of monitoring metrics

Implementation and verification of a dual-chain power gating strategy for low power design

A high-efficiency charge pump for ultra-low voltage boost systems

Lightweight countermeasures against Spectre attacks on the branch prediction unit

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰