.png){kind=icon}
返回
Cooperative task allocation with simultaneous arrival and resource constraint for multi-UAV using a genetic algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2023.123023.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In recent years, the application of multi-UAV cooperation systems has expanded across various domains. Enhancing the coordination performance of multi-UAV systems can be achieved through task allocation methods, typically relying on a hierarchical structure. This paper proposes a novel approach using a modified genetic algorithm (GA) to address the integrated task allocation and path planning problems for multi-UAV attacking multi-target. To create a more realistic mission scenario, multiple constraints, such as resource requirement and simultaneous target arrival, are considered. The modified GA incorporates tailored crossover and mutation operators that ensure compliance with the aforementioned constraints. Furthermore, an unlocking strategy is devised to prevent the occurrence of a chromosome deadlock condition, in which several UAVs become stuck in an infinite waiting state. Through simulation results, the modified GA is demonstrated to effectively delivers feasible solutions to the coupled task allocation and path planning problems, preserving the integrated nature of the optimization process. Monte Carlo simulations are conducted to highlight the superiority of the proposed method in comparison to conventional approaches.
Keyword:
Task allocation
Unmanned aerial vehicles
Genetic algorithm
Resource constraint
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile-Edge ComputingD2D-Enabled移动-边缘计算联合任务分配与资源分配
OAAI
.png){kind=icon}
OAAI分享收藏An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment不确定动态环境下无人机群智能协同任务规划方案
PREAI
分享收藏
Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review用于多无人机协作的群智能算法: 综合评述
PREAI
分享收藏Assessing a swarm-GAP based solution for the task allocation problem in dynamic scenarios评估动态场景中任务分配问题的基于群体差距的解决方案
PREAI
分享收藏
查看更多内容