Finding optimum route of electrical energy transmission line using multi-criteria with Q-learning

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dc.contributor.authorDemircan, Semiye
dc.contributor.authorAydin, Musa
dc.contributor.authorDurduran, S. Savas
dc.date.accessioned2020-03-26T18:14:42Z
dc.date.available2020-03-26T18:14:42Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractDue to an increasing energy requirement the consideration of route determination is becoming important. The aim of this project is to find an optimum result considering its important criteria. Finding an optimum route is a complex problem. It does not mean the shortest path to the problem. It is important to find the best way under the criterion that is determined by experts. Because of this we did not use the classical shortest path algorithm and we applied one of algorithms of the Artificial Intelligence. In this work, Geographic Information System (GIS)-based energy transmission route planning had been performed. In this optimization, using Multiagent Systems (MAS) which is a subdirectory of Distributed Artificial Intelligence the multi-criteria affecting energy transmission line (ETL) had been severally analyzed. The application had been actualized on the Selcuk University Campus Area. Therefore, the digital map of the campus area particularly had been composed containing of relevant criteria. Using Q- learning Algorithm of Multiagent System the optimum route had been determined. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk University; TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)en_US
dc.description.sponsorshipThe authors acknowledge the support of this study provided by Selcuk University Scientific Research Projects. The authors have also thanked TUBITAK for their support of this study.en_US
dc.identifier.doi10.1016/j.eswa.2010.08.135en_US
dc.identifier.endpage3482en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issn1873-6793en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3477en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2010.08.135
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26503
dc.identifier.volume38en_US
dc.identifier.wosWOS:000286904600062en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRoute analysisen_US
dc.subjectQ-learningen_US
dc.subjectMASen_US
dc.subjectGISen_US
dc.titleFinding optimum route of electrical energy transmission line using multi-criteria with Q-learningen_US
dc.typeArticleen_US

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