A multi agent solution for UAV path planning problem with NetLogo

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dc.contributor.authorKazdal Çalık, Seda
dc.contributor.authorKuğu, Emin
dc.contributor.authorBirtane, Sibel
dc.contributor.authorŞahingöz, Özgür Koray
dc.date.accessioned2024-06-13T20:15:53Z
dc.date.available2024-06-13T20:15:53Z
dc.date.issued2016
dc.departmentMeslek Yüksekokulu, Gedik Meslek Yüksekokulu, Bilgisayar Programcılığı Programı
dc.description.abstractDue to its low cost, small size, autonomous structure and high mobility, usage of the Unmanned Aerial Vehicles (UAVs) has been increasing over the last two decades. To construct an autonomous UAV, path planning is a crucial task to meet the objectives specified for the mission. Mainly, the purpose of path planning can be described as find the optimal path from a start point to the destination point to check necessary control points (CPs) while taking into consideration different operational constraints. While the number of CPs increases, constructing an optimal path is getting trivial, most of the researchers used evolutionary algorithms and/or swarm algorithms to reach a near optimal solution in an acceptable time. In this study, it is aimed to solve the UAV Path Planning problem with a swarm intelligence algorithm as Ant Colony Optimization Algorithm. To implement this algorithm with similar to the real world, each ant is aimed to implement as an autonomous agent, and the proposed system is implemented on NetLogo, which is a multi-agent programmable modeling environment for simulating real World problems. The experimental results showed that the proposed system produces an acceptable solution in a limited time.
dc.identifier.endpage8401
dc.identifier.issn0973-4562
dc.identifier.issue15
dc.identifier.scopus2-s2.0-84983384744
dc.identifier.scopusqualityN/A
dc.identifier.startpage8397
dc.identifier.urihttps://hdl.handle.net/11501/926
dc.identifier.volume11
dc.indekslendigikaynakScopus
dc.institutionauthorKazdal Çalık, Seda
dc.language.isoen
dc.publisherResearch India Publications
dc.relation.ispartofInternational Journal of Applied Engineering Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectACO
dc.subjectAnt Colony Optimization
dc.subjectMulti Agent Systems
dc.subjectUAV Path Planning
dc.titleA multi agent solution for UAV path planning problem with NetLogo
dc.typeArticle

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