蚁群优化算法
运动规划
路径(计算)
计算机科学
蚁群
领域(数学)
直线(几何图形)
算法
模拟
人工智能
机器人
数学
几何学
纯数学
程序设计语言
作者
D. P. Jin,Hao Shi,Yan Yu,Fengyi Feng
标识
DOI:10.1109/icsece58870.2023.10263412
摘要
This paper tests the lightweight UAV through physical experiments and proves that its reduced mass can still meet the strength requirements; the feasibility of the improved ant colony algorithm in UAV path planning design is demonstrated through simulation of the path. This paper investigates the UAV in terms of both mechanical structure and path planning, which is greatly in line with its application in the field of logistics and transportation, and can provide reference value for its application in the present society as well as in more in-depth research in the future.
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