A parallel cooperative coevolutionary multi-verse algorithm for large-scale multi-objective UAV path planning problems

Path planning of Unmanned Aerial Vehicles (UAVs) in complex environments with high dimensionality attempts to search for waypoint sequences always of increased size. Such a challenging task can be considered as a multi-objective Large-Scale Global Optimization (LSGO) problem where efficient solving...

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Veröffentlicht in:	Memetic computing Jg. 17; H. 4; S. 44
Hauptverfasser:	Jarray, Raja, Bouallègue, Soufiene
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025 Springer Nature B.V
Schlagworte:	Algorithms Applications of Mathematics Artificial Intelligence Bioinformatics Collaboration Collision avoidance Complex Systems Complexity Computing time Control Decision making Decomposition Energy consumption Engineering Feature selection Genetic algorithms Global optimization Mathematical and Computational Engineering Mechatronics Message passing Multiple objective analysis Optimization algorithms Path planning Planning Regular Research Paper Robotics Unmanned aerial vehicles Variance analysis Parallel computing Multi-core CPU allocation Unmanned aerial vehicles Path planning Large-scale multi-objective optimization Cooperative coevolutionary decomposition
ISSN:	1865-9284, 1865-9292
Online-Zugang:	Volltext
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