基于k均值聚类ACA的无人机航标检测路径规划

IF 2.7 4区 工程技术 Q2 ENGINEERING, CIVIL Journal of Marine Science and Technology Pub Date : 2023-01-01 DOI:10.51400/2709-6998.2705
Jiaqi Li, Weifeng Li, Wenting Zhang
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引用次数: 0

摘要

随着人工智能在航运业中的应用和速度的提高,无人机技术已被应用于航标检测,以提高检测效率和安全性。针对无人机航标检测路径规划问题,提出了一种改进的k均值聚类蚁群算法(KCACA),为无人机航标检测设计最短路径。首先利用K-means算法和无人机最大飞行距离对航标进行聚类,然后将航标分成若干次聚类;将每个聚类视为一个独立的旅行商问题,并使用蚁群算法(ACA)进行评估。其次,对ACA信息素更新公式进行优化后,根据迭代次数逐渐减小衰减因子。实验表明,改进的KCACA不仅能优化最短路径,而且能在短时间内计算出最优路径,提高了运行效率。
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Path Planning of UAV Navigation Mark Inspection Using a K-means Clustering ACA
With increasing speeds and application of artificial intelligence in the shipping industry, unmanned aerial vehicle (UAV) technology has been applied to navigation mark inspections to improve the inspection efficiency and safety. Aimed at the UAV path planning problem of navigation mark inspection, this paper proposes an improved K-means clustering ant colony algorithm (KCACA) to design the shortest route for UAV navigation mark inspections. First, the K-means algorithm and the UAV maximum flight distance were used to cluster the navigation marks, which were then split into several secondary clusters. Each cluster was regarded as an independent traveling salesman problem to be evaluated using the ant colony algorithm (ACA). Second, after optimizing the ACA pheromone update formula, the attenuation factor was gradually reduced according to the number of iterations. Experiments showed that the improved KCACA not only optimized the shortest path but also calculated the optimal path in a short time, improving the operation efficiency.
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来源期刊
Journal of Marine Science and Technology
Journal of Marine Science and Technology 工程技术-工程:海洋
CiteScore
5.60
自引率
3.80%
发文量
47
审稿时长
7.5 months
期刊介绍: The Journal of Marine Science and Technology (JMST), presently indexed in EI and SCI Expanded, publishes original, high-quality, peer-reviewed research papers on marine studies including engineering, pure and applied science, and technology. The full text of the published papers is also made accessible at the JMST website to allow a rapid circulation.
期刊最新文献
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