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An improved tabu search algorithm application to intelligent airline network optimization

  • Yan Zhang*
  • , Jun Zhang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

This paper develops an improved algorithm to optimize the airline network. The specialized Floyd Shortest Path Method is introduced to improve the initial solution and neighborhood structure. And the improved algorithm is applied to the problem of selecting the hub aerodromes in the airline network. Furthermore, a hub-and-spoke network among 15 cities is constructed with the algorithm application. The computation result shows its good usability in intelligent airline optimization solution. Consequently, the algorithm can be used to instruct the airline network optimization in China.

Original languageEnglish
Title of host publicationPEITS 2009 - 2009 2nd Conference on Power Electronics and Intelligent Transportation System
Pages312-315
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 2nd Conference on Power Electronics and Intelligent Transportation System, PEITS 2009 - Shenzhen, China
Duration: 19 Dec 200920 Dec 2009

Publication series

NamePEITS 2009 - 2009 2nd Conference on Power Electronics and Intelligent Transportation System
Volume2

Conference

Conference2009 2nd Conference on Power Electronics and Intelligent Transportation System, PEITS 2009
Country/TerritoryChina
CityShenzhen
Period19/12/0920/12/09

Keywords

  • Airline planning
  • Hubspoke network
  • Optimization
  • Tabu search algorithem

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