Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/2497
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dc.contributor.authorİncekara, Hayri-
dc.contributor.authorSelek, Murat-
dc.date.accessioned2022-05-23T20:23:43Z-
dc.date.available2022-05-23T20:23:43Z-
dc.date.issued2021-
dc.identifier.issn1582-7445-
dc.identifier.issn1844-7600-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/2497-
dc.description.abstractIn cases where Quadrotors, which are increasingly important rotary-wing Unmanned Aerial Vehicles (UAVs), are required to visit more than one location, route planning should be done to reduce the cost of flight and increase the efficiency. In this study, it is aimed to reduce the flight time and increase the efficiency of Quadrotor Route Planning (QRP) based on the changes in wind speed and wind angle. To achieve this, a dynamic QRP application which can generate routes which are suitable for changing environmental conditions by using instantaneous wind data and real location coordinates has been developed. In this application, Genetic Algorithm (GA), Tabu Search and Traveling Salesman Problem (TSP) with GA metaheuristic methods were used comparatively to optimize QRP according to flight time. Among these methods, the TSP with GA method is the metaheuristic method that gave the most optimal results. When the results are examined, it is seen that wind effect dynamic QRP that uses TSP and GA method provides up to 26% improvements in flight time compared to Standard QRP that uses TSP with GA method.en_US
dc.description.sponsorshipSelcuk University Scientific Research Projects Coordinatorship [18201082]en_US
dc.description.sponsorshipThis work was supported in by the Selcuk University Scientific Research Projects Coordinatorship under Project No. 18201082.en_US
dc.language.isoenen_US
dc.publisherUniv Suceava, Fac Electrical Engen_US
dc.relation.ispartofAdvances In Electrical And Computer Engineeringen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectgenetic algorithmsen_US
dc.subjectheuristic algorithmsen_US
dc.subjectroutingen_US
dc.subjectunmanned aerial vehiclesen_US
dc.subjectwinden_US
dc.subjectTraveling Salesman Problemen_US
dc.subjectGenetic Algorithmen_US
dc.subjectOptimizationen_US
dc.subjectCoverageen_US
dc.subjectSystemen_US
dc.titleWind-Effected Dynamic Quadrotor Route Planning with Metaheuristic Methods in Different Weather Conditionsen_US
dc.typeArticleen_US
dc.identifier.scopus2-s2.0-85122236431en_US
dc.departmentMeslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümüen_US
dc.identifier.volume21en_US
dc.identifier.issue4en_US
dc.identifier.startpage69en_US
dc.identifier.endpage78en_US
dc.identifier.wosWOS:000725107100008en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept07. Vocational School of Technical Sciences-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
Teknik Bilimler Meslek Yüksekokulu Koleskiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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