.png){kind=icon}
返回
A multi- unmanned aerial vehicle dynamic task assignment method based on bionic algorithms
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compeleceng.2022.107820.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Because of the long calculation time in task allocation algorithms and the long travelled distance of the Unmanned Aerial Vehicle (UAV) during task allocation, a multi-UAV task allocation method based on three bionic algorithms, which are the ant colony algorithm, bat algorithm, and gray wolf algorithm was proposed in this paper. The Multi-UAV Dynamic Task Assignment Method Based on Bionic Algorithms (TABA) method dynamically allocates UAVs based on the number of task points and includes a comparison mechanism. The results of experiments demonstrate that, among the three algorithms, the proposed method has 30% improvement to the conventional methods, and the UAV travel time is about one-third that of the original algorithm on average, thereby revealing the effectively reduced algorithm complexity. Moreover, the algorithm can reduce the travel time of UAVs.
Keyword:
Task allocation
Bionic algorithms
Calculation time
Travel time
Traveled distance
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
引用论文
.png){kind=icon}
分享收藏First-Trimester Antibiotic Treatments for Urinary Tract Infections and Risk of Congenital Malformations孕早期尿路感染的抗生素治疗与先天性畸形风险
PREAI
分享收藏分享收藏
查看更多内容