基于蛇形优化算法的无人机路径规划研究

Yan-Ping Fan, Meng-Yao Yao, Lin Li, Kai Yang
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引用次数: 0

摘要

随着无人机技术的发展和成熟,其应用领域也越来越广泛。在无人机实际飞行过程中,需要根据外部环境信息高效、可靠地计算出安全路径。然而,现有的无人机路径规划算法存在适用类型单一、收敛速度慢、易陷入局部最优等局限性。蛇形优化算法在无人机路径规划中的应用可以解决上述问题。该算法的应用为无人飞行器路径规划相关问题的解决提供了新的方向。
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Research on UAV path planning based on snake optimization algorithm
With the development and maturity of UAV technology, its application fields are more and more extensive. In the actual flight process of UAV, itis necessary to calculate the safe path efficiently and reliably according to the external environment information. However, the existing UAV path planning algorithm has some limitations such as single applicable type, slow convergence speed, and easy to fall into the local optimum. The application of snake optimization algorithm in UAV path planning can solve the above problems. It can carry out fast and efficient path planning in complex environments, and the application of this algorithm provides a new direction for the problems related to the path planning of unmanned aerial vehicles.
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