eCite Digital Repository

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:Rail Infrastructure and Networks
UTAS Author:Chan, AHC (Professor Andrew Chan)
ID Code:103303
Year Published:2009
Web of Science® Times Cited:19
Deposited By:Office of the School of Engineering
Deposited On:2015-10-02
Last Modified:2015-11-09
Downloads:0

Repository Staff Only: item control page