Dual-Mechanism Enhanced Sparrow Search Optimization for UAV Path Planning

The dual-mechanism enhanced Sparrow Search Algorithm (SSA) designed to overcome early stagnation and insufficient global exploration. The proposed algorithm incorporates two novel mechanisms: (1) Chaotic opposition-based initialization mechanism, which employs chaotic maps and opposition-based learning to diversify the initial population and accelerate convergence; (2) Lévy-honey badger position update Mechanism, which combines long-range exploration with the honey badger algorithm's intensive exploitation. Comprehensive experimental evaluations on CEC 2017 benchmark functions and UAV path planning simulation experiments confirm that the proposed algorithm exhibits superior optimization capability and accelerated convergence performance.