Optimisation of railway track maintenance and renewal works by genetic algorithms

Građevinar

article

Hakan Guler¹ 

[1] University of Sakarya, Turkey Faculty of Engineering Department of Civil Engineering

关键词: track maintenance;    optimisation;    genetic algorithms;    decision support systems;    expert systems;   

DOI  :  10.14256/JCE.1458.2015

学科分类：社会科学、人文和艺术（综合）

来源: Hrvatsko Drustvo Gradevinskih Inzenjera

【 摘 要 】

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.

【 授权许可】

CC BY