Optimisation of railway track maintenance and renewal works by genetic algorithms

This paper describes a new approach to optimisation of railway track maintenance and renewal works via genetic algorithms. Decision support systems and genetic algorithms are used in this study to optimise railway track maintenance and renewal activities. The results obtained in the scope of this st...

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Main Author: Hakan Guler
Format: Article
Language:English
Published: Croatian Association of Civil Engineers 2016-12-01
Series:Građevinar
Online Access:https://doi.org/10.14256/JCE.1458.2015
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spelling doaj-8e2ee812870d4b0cb77ba4ab50b03f392020-11-24T21:52:16ZengCroatian Association of Civil EngineersGrađevinar0350-24651333-90952016-12-016812.97999310.14256/JCE.1458.2015174865Optimisation of railway track maintenance and renewal works by genetic algorithmsHakan GulerThis paper describes a new approach to optimisation of railway track maintenance and renewal works via genetic algorithms. Decision support systems and genetic algorithms are used in this study to optimise railway track maintenance and renewal activities. The results obtained in the scope of this study show that planned maintenance and renewal management systems can be developed and successfully used instead of resorting to corrective maintenance activities.https://doi.org/10.14256/JCE.1458.2015
collection DOAJ
language English
format Article
sources DOAJ
author Hakan Guler
spellingShingle Hakan Guler
Optimisation of railway track maintenance and renewal works by genetic algorithms
Građevinar
author_facet Hakan Guler
author_sort Hakan Guler
title Optimisation of railway track maintenance and renewal works by genetic algorithms
title_short Optimisation of railway track maintenance and renewal works by genetic algorithms
title_full Optimisation of railway track maintenance and renewal works by genetic algorithms
title_fullStr Optimisation of railway track maintenance and renewal works by genetic algorithms
title_full_unstemmed Optimisation of railway track maintenance and renewal works by genetic algorithms
title_sort optimisation of railway track maintenance and renewal works by genetic algorithms
publisher Croatian Association of Civil Engineers
series Građevinar
issn 0350-2465
1333-9095
publishDate 2016-12-01
description This paper describes a new approach to optimisation of railway track maintenance and renewal works via genetic algorithms. Decision support systems and genetic algorithms are used in this study to optimise railway track maintenance and renewal activities. The results obtained in the scope of this study show that planned maintenance and renewal management systems can be developed and successfully used instead of resorting to corrective maintenance activities.
url https://doi.org/10.14256/JCE.1458.2015
work_keys_str_mv AT hakanguler optimisationofrailwaytrackmaintenanceandrenewalworksbygeneticalgorithms
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