Study on student ticket distribution model and its particle swarm optimization algorithm

Qing Wang*, Leizhen Wang, Suxin Wang, Li Zhao, Xuelei Cheng, Xuemei Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Internet Computing and Information Services, ICICIS 2011
Pages428-430
Number of pages3
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Internet Computing and Information Services, ICICIS 2011 - Hong Kong, Hong Kong
Duration: 17 Sept 201118 Sept 2011

Publication series

NameProceedings - 2011 International Conference on Internet Computing and Information Services, ICICIS 2011

Conference

Conference2011 International Conference on Internet Computing and Information Services, ICICIS 2011
Country/TerritoryHong Kong
CityHong Kong
Period17/09/1118/09/11

Keywords

  • Railway
  • Student Ticket Distribution Model (STDM)
  • particle swarm optimization (PSO)

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