TY - GEN
T1 - An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms
AU - Zhang, Ruowei
AU - Dou, Lihua
AU - Xin, Bin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the rapid development of artificial intelligence technology, unmanned aerial vehicles and unmanned ground vehicles have become increasingly popular as substitutes for humans to perform various search reconnaissance and other tasks. However one unmanned aerial vehicle or one unmanned ground vehicle is difficult to meet the multi-dimensional requirements of the task due to its limited load. This paper conducts research on the construction problem of multi-group unmanned platforms (CPMGUP) based on the requirements of tasks. Firstly, tasks are grouped using the k-means clustering algorithm. Then, an ability-centered clustering algorithm (ACCA) was proposed to solve the CPMGUP based on the requirements of the task groups. Finally, numerical experiments were conducted to verify the effectiveness of the ACCA and compare it with the improved genetic algorithm.
AB - With the rapid development of artificial intelligence technology, unmanned aerial vehicles and unmanned ground vehicles have become increasingly popular as substitutes for humans to perform various search reconnaissance and other tasks. However one unmanned aerial vehicle or one unmanned ground vehicle is difficult to meet the multi-dimensional requirements of the task due to its limited load. This paper conducts research on the construction problem of multi-group unmanned platforms (CPMGUP) based on the requirements of tasks. Firstly, tasks are grouped using the k-means clustering algorithm. Then, an ability-centered clustering algorithm (ACCA) was proposed to solve the CPMGUP based on the requirements of the task groups. Finally, numerical experiments were conducted to verify the effectiveness of the ACCA and compare it with the improved genetic algorithm.
KW - ability-centered clustering algorithm
KW - improved genetic algorithm
KW - k-means clustering algorithm
KW - multi-group unmanned platforms
KW - task groups
UR - http://www.scopus.com/inward/record.url?scp=85180130864&partnerID=8YFLogxK
U2 - 10.1109/ICUS58632.2023.10318252
DO - 10.1109/ICUS58632.2023.10318252
M3 - Conference contribution
AN - SCOPUS:85180130864
T3 - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
SP - 1225
EP - 1230
BT - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
A2 - Song, Rong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Y2 - 13 October 2023 through 15 October 2023
ER -