A multi agent solution for UAV path planning problem with NetLogo

Küçük Resim Yok

Tarih

2016

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Research India Publications

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Due 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. © Research India Publications.

Açıklama

Anahtar Kelimeler

ACO, Ant colony optimization, Multi agent systems, UAV path planning

Kaynak

International Journal of Applied Engineering Research

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

11

Sayı

15

Künye