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Review article

https://doi.org/10.14256/JCE.1458.2015

Optimisation of railway track maintenance and renewal works by genetic algorithms

Hakan Guler


Full text: croatian pdf 694 Kb

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Full text: english pdf 687 Kb

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Abstract

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.

Keywords

track maintenance; optimisation; genetic algorithms; decision support systems; expert systems

Hrčak ID:

174865

URI

https://hrcak.srce.hr/174865

Publication date:

19.1.2017.

Article data in other languages: croatian

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