TY - GEN
T1 - Multi-UUV Detection Array Optimization Based on Ant Colony Algorithm
AU - Liu, Mingwei
AU - Liu, Lu
AU - Zhang, Lichuan
AU - Pan, Guang
AU - Dang, Peidong
AU - Chen, Yi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the increasing stealth performance of underwater detection targets and more complex detection tasks, a single underwater unmanned underwater vehicle (UUV) has been already unable to meet the current mission requirements. Therefore, in recent years, multi-UUV cooperative detection has been widely used in certain task. To address the problem that the change of multiple UUV formations in the detection task will have a large impact on the detection effectiveness, a multi-UUV formation optimization model is proposed. Then, the formation optimization problem of multi-UUV cooperative detection is solved through the ant colony algorithm. The results show that the algorithm in this paper is more robust than the traditional algorithm. and the ability to globally search for optimal solutions.
AB - With the increasing stealth performance of underwater detection targets and more complex detection tasks, a single underwater unmanned underwater vehicle (UUV) has been already unable to meet the current mission requirements. Therefore, in recent years, multi-UUV cooperative detection has been widely used in certain task. To address the problem that the change of multiple UUV formations in the detection task will have a large impact on the detection effectiveness, a multi-UUV formation optimization model is proposed. Then, the formation optimization problem of multi-UUV cooperative detection is solved through the ant colony algorithm. The results show that the algorithm in this paper is more robust than the traditional algorithm. and the ability to globally search for optimal solutions.
KW - ant colony algorithm
KW - cooperative detection
KW - formation optimization
KW - UUVs
UR - https://www.scopus.com/pages/publications/85150031882
U2 - 10.1109/ICCR55715.2022.10053915
DO - 10.1109/ICCR55715.2022.10053915
M3 - 会议稿件
AN - SCOPUS:85150031882
T3 - 2022 4th International Conference on Control and Robotics, ICCR 2022
SP - 466
EP - 469
BT - 2022 4th International Conference on Control and Robotics, ICCR 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Control and Robotics, ICCR 2022
Y2 - 2 December 2022 through 4 December 2022
ER -