UAV Path Planning Based on Adaptive Weighted

翻译:基于适应性加权的无人驾驶飞行器路径规划

出版日期: 上传时间: 2024-02-29 10:28:23 出版作者: Na Lin, Siming Huang, Changqing Gong, Liang Zhao, Jiacheng Tang
基本信息
出版作者:
Na Lin, Siming Huang, Changqing Gong, Liang Zhao, Jiacheng Tang
出版日期:
文献页数:
11
上传时间:
2024-02-29 10:28:23
数据来源:
摘要

In the complex environment, using traditional pigeon-inspired optimization algorithm for the UAV route planning leads local optimum and slow convergence speed and unstable problem. In order to solve this problem, this paper introduces an adaptive weighted pigeon-inspired optimization algorithm. The adaptive weight coefficient is applied to calculate the speed and position of the individuals in the population which enhances the quality and efficiency of route planning. In addition, this paper done many simulation experiment from different aspect for providing enough evident in path planning. This paper also have these simulation experiment by designing different environment model including the simple and complex environment. The simulation results show that the adaptive weighted pigeon-inspired optimization algorithm provides a shorter route distance, a lower threat cost consumption and the algorithm running time while comparing with pigeon-inspired optimization algorithm and particle swarm optimization than basic pigeon-inspired optimization algorithm and Particle swarm intelligence algorithm. After the spline smoothing, the UAV route is flyable.

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内容

杂志:Lecture Notes in Computer Science
刊号:0302-9743
日期:2017
卷号:10639
版号:1

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