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

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...

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Bibliographic Details
Published inProceedings of the Institution of Mechanical Engineers. Part F, Journal of rail and rapid transit Vol. 223; no. 6; pp. 533 - 541
Main Authors Zhao, J, Chan, A H C, Burrow, M P N
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.11.2009
SAGE PUBLICATIONS, INC
Subjects
Computation
Costs
Genetic algorithms
Mathematical models
Mechanical components
Mechanical engineers
Mixed integer
Railroad accidents & safety
Railroad tracks
Railway networks
Railway tracks
Rapid transit
Repair & maintenance
Scheduling
Tracking
genetic algorithm
railway track
schedule
renewal
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0954-4097
2041-3017
DOI:10.1243/09544097JRRT273