TL;DR
Experimental results demonstrate that the proposed ACO-initialized Greedy and Escape PSO consistently achieves superior optimization performance, producing shorter and smoother flight paths with faster and more stable convergence.
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...
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...
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...
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...
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.
To address the issues of poor convergence performance and susceptibility to local optima in the traditional Whale Optimization Algorithm (WOA) for 3D path planning of unmanned aerial vehicles (UAVs), we propose an improved Whale Optimization Algorithm (R*WOA) that integrates the Rapidly Expanding Random Tree Star (...
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