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Intelligent path planning algorithms for UAVs: Classification, complexity analysis, hybrid ablation insights, and future directions

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This review classifies intelligent algorithms for UAV path planning, highlighting their strengths and complexity.

Hybrid strategies offer greater flexibility and robustness in uncertain environments for UAV path planning.
Comparative analysis examined performance metrics like path length and collision avoidance in UAV applications.
The study categorizes intelligent algorithms into computational intelligence, machine learning, and hybrid methods.
UAV applications include autonomous delivery, disaster response, and environmental monitoring.

Alaa et al. (2025) studied this question.

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