Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/2497
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | İncekara, Hayri | - |
dc.contributor.author | Selek, Murat | - |
dc.date.accessioned | 2022-05-23T20:23:43Z | - |
dc.date.available | 2022-05-23T20:23:43Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 1582-7445 | - |
dc.identifier.issn | 1844-7600 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/2497 | - |
dc.description.abstract | In 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.sponsorship | Selcuk University Scientific Research Projects Coordinatorship [18201082] | en_US |
dc.description.sponsorship | This work was supported in by the Selcuk University Scientific Research Projects Coordinatorship under Project No. 18201082. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Univ Suceava, Fac Electrical Eng | en_US |
dc.relation.ispartof | Advances In Electrical And Computer Engineering | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | genetic algorithms | en_US |
dc.subject | heuristic algorithms | en_US |
dc.subject | routing | en_US |
dc.subject | unmanned aerial vehicles | en_US |
dc.subject | wind | en_US |
dc.subject | Traveling Salesman Problem | en_US |
dc.subject | Genetic Algorithm | en_US |
dc.subject | Optimization | en_US |
dc.subject | Coverage | en_US |
dc.subject | System | en_US |
dc.title | Wind-Effected Dynamic Quadrotor Route Planning with Metaheuristic Methods in Different Weather Conditions | en_US |
dc.type | Article | en_US |
dc.identifier.scopus | 2-s2.0-85122236431 | en_US |
dc.department | Meslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümü | en_US |
dc.identifier.volume | 21 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 69 | en_US |
dc.identifier.endpage | 78 | en_US |
dc.identifier.wos | WOS:000725107100008 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q3 | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 07. 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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File | Size | Format | |
---|---|---|---|
WindEffectedDynamicQuadrotorRoutePlanningwithMetaheuristicMethodsinDifferentWeatherConditions.pdf | 2.06 MB | Adobe PDF | View/Open |
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