Energy Efficient Path Planning Scheme for Unmanned Aerial Vehicle Using Hybrid Generic Algorithm-Based Q-Learning Optimization

Energy Efficient Path Planning Scheme for Unmanned Aerial Vehicle Using Hybrid Generic Algorithm-Based Q-Learning Optimization

Efficient path planning optimization strategies are required to maximize flying time while consuming the least energy. This research offers a novel approach for energy-efficient path planning for Unmanned Aerial Vehicles (UAVs) that combines a hybrid evolutionary algorithm and Q-learning while accou...

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Bibliographic Details
Main Authors: Rashid A. Saeed, Elmustafa Sayed Ali, Maha Abdelhaq, Raed Alsaqour, Fatima Rayan Awad Ahmed, Asma Mohammed Elbashir Saad
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
AI
energy efficiency
path planning
unmanned aerial vehicles
energy optimization
hybrid genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/10365503/

Internet

https://ieeexplore.ieee.org/document/10365503/

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