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.
Path planning is an indispensable part of the autonomous control system for unmanned aerial vehicles (UAVs). In addition, UAVs mission planning has been proven to be an NP-hard problem. This paper systematically analyzes the state-of-the-art intelligent optimization algorithms for UAVs path planning. Considering that t...
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
Aiming at the problems of slow convergence speed, low optimization accuracy, susceptibility to local optima, and insufficient stability of the traditional Red Kite Optimization Algorithm (ROA) for unmanned aerial vehicle (UAV) path planning in complex three-dimensional environments, this paper proposes an Improved Red...
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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