A genetic-algorithm-based approach for scheduling the renewal of railway track components

J Zhao, Andrew Chan, Michael Burrow

Research output: Contribution to journalAbstract

21 Citations (Scopus)

Abstract

This article describes a procedure that may be used to help synchronize the renewal of railway track components so that the costs of the renewal processes are minimized. To this end a model has been developed to maximize the cost benefit by combining renewal activities for a section of track. As the problem may be considered to be a mixed integer program with constrains, a genetic algorithm (GA)-based approach was used to find the solution. Techniques that may be used to reduce the computational effort required to perform the analysis are also described. The applicability of the approach to optimize the renewal of railway track components is shown by means of an example.
Original languageEnglish
Pages (from-to)533-541
Number of pages9
JournalProceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
Volume223
Issue number6
DOIs
Publication statusPublished - 1 Nov 2009

Keywords

  • schedule
  • genetic algorithm
  • renewal
  • railway track

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