This paper presents a new approach based on ant colony optimization (ACO) to determine the trajectories of a fleet of unmanned air vehicles (UAVs) looking for ...
This paper presents a new approach based on ant colony optimization (ACO) to determine the trajectories of a fleet of unmanned air vehicles (UAVs) looking ...
This paper presents a new approach based on ant colony optimization (ACO) to determine the trajectories of a fleet of unmanned air vehicles (UAVs) looking ...
This paper presents a new approach based on ant colony optimization (ACO) to determine the trajectories of a fleet of unmanned air vehicles (UAVs) looking ...
This paper presents a new planner based on Ant Colony Optimization for Real-coded domains (ACOR) for optimizing the trajectories of multiple Unmanned ...
Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments
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Manuel de la Cruz, “Ant colony optimization for multi-UAV minimum time search in uncertain domains”, Journal of Applied Soft Computing, 2018. DOI: http://dx ...
Ant colony optimization for multi-UAV minimum time search in uncertain domains. Applied Soft Computing, 2018. A multi-UAV minimum time search planner based on ...
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Jun 8, 2023 · In this paper, an improved ant colony optimization algorithm for UAV minimum time search path planning for moving targets is proposed.
Ant colony optimization for multi-UAV minimum time search in uncertain domains. Perez-Carabaza, S. Besada-Portas, E. Lopez-Orozco, J.A. · de la Cruz, J.M..
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This book proposes some novel approaches for finding unmanned aerial vehicle trajectories to reach targets with unknown location in minimum time.