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A genetic-algorithm-based approach for scheduling the renewal of railway track components
Citation
Zhao, J and Chan, AHC and Burrow, MPN, A genetic-algorithm-based approach for scheduling the renewal of railway track components, Institution of Mechanical Engineers. Proceedings. Part F: Journal of Rail and Rapid Transit, 223, (6) pp. 533-541. ISSN 0954-4097 (2009) [Refereed Article]
Copyright Statement
Copyright 2015 by Institution of Mechanical Engineers
DOI: doi:10.1243/09544097JRRT273
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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | renewal, schedule, genetic algorithm, railway track |
| Research Division: | Engineering |
| Research Group: | Civil engineering |
| Research Field: | Infrastructure engineering and asset management |
| Objective Division: | Transport |
| Objective Group: | Ground transport |
| Objective Field: | Urban rail infrastructure and networks (incl. light and metro rail) |
| UTAS Author: | Chan, AHC (Professor Andrew Chan) |
| ID Code: | 103303 |
| Year Published: | 2009 |
| Web of Science® Times Cited: | 34 |
| Deposited By: | Office of the School of Engineering |
| Deposited On: | 2015-10-02 |
| Last Modified: | 2015-11-09 |
| Downloads: | 0 |
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