×
Jan 9, 2024 · This paper proposes a path planning method of unmanned vehicles based on adaptive particle swarm optimization algorithm (APSO).
Therefore, this paper proposes a path planning method of unmanned vehicles based on adaptive particle swarm optimization algorithm (APSO). Firstly, a map ...
A specialized global path planning algorithm for mobile robot based on Guaranteed Convergence Particle Swarm Optimization (GCPSO) is proposed. An environmental ...
The algorithm coordinates the search of particles through three adaptive factors and Levy flight strategy. Then, a security checking strategy is proposed.
Compared with other path planning algorithms, the algorithm has stronger convergence speed and search ability, and takes into account multi-objective ...
An adaptive particle swarm optimization algorithm is proposed, which adaptively adjusts the values of inertial weight and two learning factors in the iterated ...
An improved particle swarm optimization (PSO) algorithm, named GBPSO, is proposed to enhance the performance of three-dimensional path planning for fixed-wing ...
Path planning of unmanned vehicles based on adaptive particle swarm optimization algorithm. https://doi.org/10.1016/j.comcom.2023.12.040 ·.
People also ask
An improved particle swarm optimization (PSO) algorithm, named GBPSO, is proposed to enhance the performance of three-dimensional path planning for fixed-wing ...
The Sine–Levy tuna swarm optimization (SLTSO) algorithm is a novel method based on the sine strategy and Levy flight guidance.