An enhanced PSO with adaptive weight and Gaussian mutation (EPSO-AWGM) that can obtain shorter and higher-quality flight paths and has great application potential in practical UAV path planning scenarios.
This work develops an enhanced PSO with adaptive weight and Gaussian mutation (EPSO-AWGM) that can obtain shorter and higher-quality flight paths and has great application potential in practical UAVs path planning scenarios.
Gaofeng Che· Advances in Differential Equ...· 0 citations
To address the issues of slow convergence and susceptibility to local optima when applying traditional artificial fish swarm algorithms to 3D path planning for unmanned aerial vehicles (UAVs), this paper proposes an improved adaptive artificial fish swarm algorithm (IAFSA). A simulation environment incorporating undula...
Yu-Lu Jiang· International Conference on...· 0 citations
The Personal History Memory Mechanism is introduced, which replaces random perturbation with weighted historical experience to enhance the directional search capability of the algorithm, and a greedy selection strategy is embedded to ensure the monotonically non-deteriorating quality of population solutions.
The Improved Dhole Optimization Algorithm is proposed, which enhances the original DOA framework by integrating a logistic-map-based chaotic mapping, a dynamic chaotic perturbation mechanism, and an adaptive stage-division strategy, and significantly outperforms the original DOA in terms of convergence speed and final...
Wei-Qi Feng, Hongyu Chen, Yu-Jie Fu et al.· Aerospace· 0 citations
Experiments show that HLGWO generally outperforms several comparison algorithms in convergence accuracy, stability, and path cost, thereby improving the safety, feasibility, and optimization performance of 3D UAV path planning in complex environments.
With the popularization of unmanned aerial vehicles (UAVs) in scenarios such as military reconnaissance, logistics transportation, and post-disaster rescue, Generating optimal flight paths that guarantee both safety and timeliness amidst high-density barriers and unknown environmental factors presents a formidable chal...
Qian Wan, Tian-En Lu, Liquan Huang et al.· International Conference on...· 0 citations
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