The intelligent logistics management system based on intelligent computing

J. Qian, Jianguo Zheng, Chaoqun Zhang
{"title":"The intelligent logistics management system based on intelligent computing","authors":"J. Qian, Jianguo Zheng, Chaoqun Zhang","doi":"10.1109/CINC.2010.5643898","DOIUrl":null,"url":null,"abstract":"Traditionally, some common algorithms to optimize the integration of logistics resource are linear programming, dynamic programming, and etc., however, these algorithms can't well solve many complex optimization issues, especially nonlinear issues, because of the continuous growth of issue complexity. On the contrary, intelligent computing technology has many advantages in solving complex, nonlinear and multi-objective optimization issue. But, how to build intelligent logistics management system based on intelligent computing technology has become a challenge. This paper, focusing on the function and system structure of intelligent management platform, presents the design of intelligent logistics management system based on Global Positioning System (GPS), Geographic Information System (GIS), and intelligent computing. Finally, a sample model of using quantum genetic intelligent algorithm to solve transportation problem in the intelligent logistics management system is given.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2010.5643898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Traditionally, some common algorithms to optimize the integration of logistics resource are linear programming, dynamic programming, and etc., however, these algorithms can't well solve many complex optimization issues, especially nonlinear issues, because of the continuous growth of issue complexity. On the contrary, intelligent computing technology has many advantages in solving complex, nonlinear and multi-objective optimization issue. But, how to build intelligent logistics management system based on intelligent computing technology has become a challenge. This paper, focusing on the function and system structure of intelligent management platform, presents the design of intelligent logistics management system based on Global Positioning System (GPS), Geographic Information System (GIS), and intelligent computing. Finally, a sample model of using quantum genetic intelligent algorithm to solve transportation problem in the intelligent logistics management system is given.
基于智能计算的智能物流管理系统
传统上常用的物流资源整合优化算法有线性规划、动态规划等,但由于问题复杂性的不断增长,这些算法并不能很好地解决许多复杂的优化问题,特别是非线性问题。相反,智能计算技术在解决复杂、非线性和多目标优化问题方面具有许多优势。但是,如何构建基于智能计算技术的智能物流管理系统已成为一个挑战。本文围绕智能管理平台的功能和系统结构,提出了基于全球定位系统(GPS)、地理信息系统(GIS)和智能计算的智能物流管理系统的设计。最后,给出了在智能物流管理系统中应用量子遗传智能算法求解运输问题的示例模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信