Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/48289

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dc.contributor.authorHamdi, H.por
dc.contributor.authorHadiwardoyo, Sigit P.por
dc.contributor.authorCorreia, A. Gomespor
dc.contributor.authorPereira, Paulo A. A.por
dc.date.accessioned2017-12-13T13:42:37Z-
dc.date.available2017-12-13T13:42:37Z-
dc.date.issued2017-
dc.identifier.citationHamdi H., Hadiwardoyo S., Correia G. A., Pereira P. Pavement Maintenance Optimization Strategies for National Road Network in Indonesia Applying Genetic Algorithm, Procedia Engineering, Vol. 210, pp. 253-260, doi:10.1016/j.proeng.2017.11.074, 2017por
dc.identifier.issn1877-7058por
dc.identifier.urihttp://hdl.handle.net/1822/48289-
dc.description"6th International Workshop on Performance, Protection & Strengthening of Structures under Extreme Loading, PROTECT2017, 11-12 December 2017, Guangzhou (Canton), China"por
dc.description.abstractIn Indonesia, the national road has an important role to increase the region's economy, the road has the function to preserve interprovincial or inter-provincial and regencies/cities. Road network in Indonesia has a significant length, of approximately 516,239 kilometers, where the majority presents lack of information related to monitoring data and evaluation. As a consequence, road maintenance is not appropriated. The objective of this paper is to describe the development of a Genetic Algorithm (GA) based on multi objectives programming of pavement and to investigate the optimal maintenance strategy options applied as function of road surface distress conditions. This is supported by database of an Integrated Road Management System (IRMS) and taking into account of both road network condition and agency costs. The optimization strategies provided by the developed soft computing tool can help solving agency problems; minimizing costs and maximizing road services.por
dc.description.sponsorshipThe Authors are grateful to the Lembaga Pengelola Dana Pendidikan (LPDP) for the financial support provided to this thesis through the grant financed by the Ministry of Finance Republic of Indonesia.por
dc.language.isoengpor
dc.publisherElsevierpor
dc.rightsopenAccesspor
dc.subjectData Miningpor
dc.subjectGenetic algorithmpor
dc.subjectMulti objectivepor
dc.subjectOptimizationpor
dc.titlePavement maintenance optimization strategies for national road network in Indonesia applying genetic algorithmpor
dc.typeconferencePaper-
dc.peerreviewedyespor
dc.commentshttp://ctac.uminho.pt/node/2762por
oaire.citationStartPage253por
oaire.citationEndPage260por
oaire.citationTitleProcedia Engineering-
oaire.citationVolume210por
dc.date.updated2017-12-12T15:43:05Z-
dc.identifier.doi10.1016/j.proeng.2017.11.074por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
sdum.journalProcedia Engineeringpor
sdum.conferencePublicationProcedia Engineeringpor
Appears in Collections:C-TAC - Artigos em Revistas Internacionais


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