TY  - JOUR
AU  - Mo, Yuchang
AU  - Gui, Faer
AU  - Chynybaev, Mirlan
AU  - Chymyrov, Akylbek
AU  - Wu, Wen
AU  - Zhu, Jifeng
PY  - 2026
DA  - 2026/04/08
TI  - Optimal Allocation of Heterogeneous UAV Swarms for Reservoir Inspection with Task Decomposition
JO  - ICCK Transactions on Systems Safety and Reliability
T2  - ICCK Transactions on Systems Safety and Reliability
JF  - ICCK Transactions on Systems Safety and Reliability
VL  - 2
IS  - 2
SP  - 101
EP  - 111
DO  - 10.62762/TSSR.2026.977710
UR  - https://www.icck.org/article/abs/TSSR.2026.977710
KW  - reservoir UAV inspection
KW  - task decomposition
KW  - heterogeneous UAV swarm
KW  - optimal allocation
KW  - dual-objective optimization
AB  - To meet the efficiency and economy requirements of unmanned aerial vehicle (UAV) inspection for large watershed, long-distance and multi-measurement-point reservoirs, this paper focuses on the optimal allocation problem of heterogeneous UAV swarms for reservoir inspection with task decomposition. Firstly, the four decomposable dimensions of reservoir inspection tasks (spatial decomposition, time decomposition, measurement point decomposition, and data accuracy decomposition) are clarified, and the performance metrics and constraints of heterogeneous UAV swarms are defined. Secondly, inspection success models and inspection cost models are constructed to form a dual-objective optimization model. Then, an efficient solution based on the greedy algorithm is designed to realize the optimal allocation of UAV swarms. Finally, the effectiveness and practicality of the models and solution are verified through a case study. The results show that the proposed models and solution can effectively improve the success of reservoir inspection and reduce the total inspection cost.
SN  - 3069-1087
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Mo2026Optimal,
  author = {Yuchang Mo and Faer Gui and Mirlan Chynybaev and Akylbek Chymyrov and Wen Wu and Jifeng Zhu},
  title = {Optimal Allocation of Heterogeneous UAV Swarms for Reservoir Inspection with Task Decomposition},
  journal = {ICCK Transactions on Systems Safety and Reliability},
  year = {2026},
  volume = {2},
  number = {2},
  pages = {101-111},
  doi = {10.62762/TSSR.2026.977710},
  url = {https://www.icck.org/article/abs/TSSR.2026.977710},
  abstract = {To meet the efficiency and economy requirements of unmanned aerial vehicle (UAV) inspection for large watershed, long-distance and multi-measurement-point reservoirs, this paper focuses on the optimal allocation problem of heterogeneous UAV swarms for reservoir inspection with task decomposition. Firstly, the four decomposable dimensions of reservoir inspection tasks (spatial decomposition, time decomposition, measurement point decomposition, and data accuracy decomposition) are clarified, and the performance metrics and constraints of heterogeneous UAV swarms are defined. Secondly, inspection success models and inspection cost models are constructed to form a dual-objective optimization model. Then, an efficient solution based on the greedy algorithm is designed to realize the optimal allocation of UAV swarms. Finally, the effectiveness and practicality of the models and solution are verified through a case study. The results show that the proposed models and solution can effectively improve the success of reservoir inspection and reduce the total inspection cost.},
  keywords = {reservoir UAV inspection, task decomposition, heterogeneous UAV swarm, optimal allocation, dual-objective optimization},
  issn = {3069-1087},
  publisher = {Institute of Central Computation and Knowledge}
}