基于数据挖掘的车辆调度模型

Guohua Zhang, Ting Xie, Min Liu, Yang Liu
{"title":"基于数据挖掘的车辆调度模型","authors":"Guohua Zhang, Ting Xie, Min Liu, Yang Liu","doi":"10.5539/cis.v11n1p104","DOIUrl":null,"url":null,"abstract":"The article presents a shortest-path model of vehicle scheduling, which based on analyzing the application of data mining in vehicle scheduling model by referring research status of data mining and describing logistics distribution process. The article also provides an algorithmic support by making the Dijkstra algorithm of the shortest path model simple and rational.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"13 1","pages":"104-107"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vehicle Scheduling Model Based on Data Mining\",\"authors\":\"Guohua Zhang, Ting Xie, Min Liu, Yang Liu\",\"doi\":\"10.5539/cis.v11n1p104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents a shortest-path model of vehicle scheduling, which based on analyzing the application of data mining in vehicle scheduling model by referring research status of data mining and describing logistics distribution process. The article also provides an algorithmic support by making the Dijkstra algorithm of the shortest path model simple and rational.\",\"PeriodicalId\":14676,\"journal\":{\"name\":\"J. Chem. Inf. Comput. Sci.\",\"volume\":\"13 1\",\"pages\":\"104-107\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Chem. Inf. Comput. Sci.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5539/cis.v11n1p104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Chem. Inf. Comput. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5539/cis.v11n1p104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在分析数据挖掘技术在车辆调度模型中的应用的基础上,参考数据挖掘的研究现状,描述物流配送过程,提出了车辆调度的最短路径模型。本文还通过使最短路径模型的Dijkstra算法简单合理,提供了算法支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle Scheduling Model Based on Data Mining
The article presents a shortest-path model of vehicle scheduling, which based on analyzing the application of data mining in vehicle scheduling model by referring research status of data mining and describing logistics distribution process. The article also provides an algorithmic support by making the Dijkstra algorithm of the shortest path model simple and rational.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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