Optimisation of railway track maintenance and renewal works by genetic algorithms

Güler, Hakan

dc.contributor.authors	Guler, H;
dc.date.accessioned	2020-03-06T08:07:40Z
dc.date.available	2020-03-06T08:07:40Z
dc.date.issued	2016
dc.identifier.citation	Guler, H; (2016). Optimisation of railway track maintenance and renewal works by genetic algorithms. GRADEVINAR, 68, 993-979
dc.identifier.issn	0350-2465
dc.identifier.uri	https://doi.org/10.14256/JCE.1458.2015
dc.identifier.uri	https://hdl.handle.net/20.500.12619/67170
dc.description.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.
dc.language	English
dc.publisher	CROATIAN SOC CIVIL ENGINEERS-HSGI
dc.subject	Engineering
dc.title	Optimisation of railway track maintenance and renewal works by genetic algorithms
dc.type	Article
dc.identifier.volume	68
dc.identifier.startpage	979
dc.identifier.endpage	993
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü
dc.contributor.saüauthor	Güler, Hakan
dc.relation.journal	GRADEVINAR
dc.identifier.wos	WOS:000397061000003
dc.identifier.doi	10.14256/JCE.1458.2015
dc.identifier.eissn	1333-9095
dc.contributor.author	Güler, Hakan