Parallel Multiobjective Multiverse Optimizer for Path Planning of Unmanned Aerial Vehicles in a Dynamic Environment with Moving Obstacles

Path planning with collision avoidance for unmanned aerial vehicles (UAVs) in environments with moving obstacles is a complex process of navigation, often considered a hard optimization problem. Ordinary resolution algorithms may fail to provide flyable and collision-free paths under the time-consum...

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Veröffentlicht in:	Drones (Basel) Jg. 6; H. 12; S. 385
Hauptverfasser:	Jarray, Raja, Bouallègue, Soufiene, Rezk, Hegazy, Al-Dhaifallah, Mujahed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2022
Schlagworte:	Algorithms Aviation Central processing units Collision avoidance Collision dynamics Collisions CPUs Drone aircraft Dynamical systems Heuristic methods master–slave parallelization Mathematical optimization Microprocessors Moving obstacles Multiple objective analysis Obstacle avoidance Optimization parallel multiobjective multiverse optimizer Path planning Planning Statistical analysis Unmanned aerial vehicles Vehicles Tunisia
ISSN:	2504-446X, 2504-446X
Online-Zugang:	Volltext
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