Study on Student Ticket Distribution Model and its Particle Swarm Optimization Algorithm

Qing Wang, Leizhen Wang, Suxin Wang, Li Zhao, Xuelei Cheng, Xuemei Chen
{"title":"Study on Student Ticket Distribution Model and its Particle Swarm Optimization Algorithm","authors":"Qing Wang, Leizhen Wang, Suxin Wang, Li Zhao, Xuelei Cheng, Xuemei Chen","doi":"10.1109/ICICIS.2011.111","DOIUrl":null,"url":null,"abstract":"Through analyzing the characteristics of student tickets reservation, and under the condition of controlling the student tickets reservation information, a mathematic model of student ticket distribution model (STDM) is established. Particle swarm optimization (PSO) is established to solve STDM. In PSO, particle position matrix is set up, matrix's every column corresponds to a student, and matrix has two rows, the first row corresponds to train, and its elements are random train number that student will like to choose, second row correspond to date, and its elements are random date that student will like to choose. When students have the same train number and date pair, we can get train's students loads in one date. Through calculation example, this paper expounds the actual effect of the model.","PeriodicalId":255291,"journal":{"name":"2011 International Conference on Internet Computing and Information Services","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Internet Computing and Information Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIS.2011.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Through analyzing the characteristics of student tickets reservation, and under the condition of controlling the student tickets reservation information, a mathematic model of student ticket distribution model (STDM) is established. Particle swarm optimization (PSO) is established to solve STDM. In PSO, particle position matrix is set up, matrix's every column corresponds to a student, and matrix has two rows, the first row corresponds to train, and its elements are random train number that student will like to choose, second row correspond to date, and its elements are random date that student will like to choose. When students have the same train number and date pair, we can get train's students loads in one date. Through calculation example, this paper expounds the actual effect of the model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
学生票分配模型及其粒子群优化算法研究
通过分析学生票预订的特点,在控制学生票预订信息的条件下,建立了学生票分配模型的数学模型。建立了求解STDM的粒子群算法。在粒子群算法中,建立粒子位置矩阵,矩阵的每一列对应一个学生,矩阵有两行,第一行对应列车,它的元素是学生想要选择的随机车次,第二行对应日期,它的元素是学生想要选择的随机日期。当学生拥有相同的车号和日期对时,我们可以在一个日期内获得列车的学生负载。通过算例,阐述了该模型的实际效果。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Telephone Clients Management System with Short Messages The Analysis on the Function of Risk Management in Construction Enterprises Development Test Case Prioritization Technique Based on Genetic Algorithm A Model to Create Graeco Latin Square Using Genetic Algorithm Perceptual System of the Dangerous Goods in Transit Escort Based on WSN
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1