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Published: Građevinar 68 (2016) 12
Paper type: Subject review
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Optimisation of railway track maintenance and renewal works by genetic algorithms

Hakan Guler

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

HOW TO CITE THIS ARTICLE:

Guler, H.: Optimisation of railway track maintenance and renewal works by genetic algorithms, GRAĐEVINAR, 68 (2016) 12, pp. 979-993, doi: https://doi.org/10.14256/JCE.1458.2015

OR:

Guler, H. (2016). Optimisation of railway track maintenance and renewal works by genetic algorithms, GRAĐEVINAR, 68 (12), 979-993, doi: https://doi.org/10.14256/JCE.1458.2015

LICENCE:

Creative Commons License
This paper is licensed under a Creative Commons Attribution 4.0 International License.
Authors:
Guler WEB
Hakan Guler
University of Sakarya, Turkey
Faculty of Engineering
Department of Civil Engineering