Name
Title | ||
|---|---|---|
Research On Many-To-Many Target Assignment For Unmanned Aerial Vehicle Swarm In Three-Dimensional Scenarios |
Abstract | ||
|---|---|---|
Target assignment for unmanned aerial vehicle (UAV) swarm has been a research hotspot in academic and industry communities. The current methods mainly focus on multiple targets assignment in planes or few targets assignment in solids. However, they ignore three-dimensional scenarios for UAV swarm and multiple targets characteristics for assignment problem. To solve these issues, we propose a multi-target intelligent assignment model. Firstly, we introduce damage cost and time cost to evaluate the system performance of swarm and time performance in three-dimensional scenarios. Then, we design a bio-inspired swarm intelligence optimization algorithm to find the optimal multiple targets assignment and to balance the two costs and multiple constraints simultaneously. This algorithm regards UAVs as several parallel biological sub-populations, which adopts the multi-layered optimization strategy to select the suitable assignment sequence. The simulation results demonstrate that the proposed method is effective for multi-target assignment in three-dimensional scenarios. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.compeleceng.2021.107067 | COMPUTERS & ELECTRICAL ENGINEERING |
Keywords | DocType | Volume |
Unmanned aerial vehicle, Target assignment, Swarm intelligence optimization algorithm, Three-dimensional scenario | Journal | 91 |
ISSN | Citations | PageRank |
0045-7906 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Hua | 1 | 0 | 0.34 |
| Zhao Wang | 2 | 0 | 0.68 |
| Hongjuan Yao | 3 | 0 | 0.68 |
| Baohua Li | 4 | 34 | 5.57 |
| Chenglong Shi | 5 | 0 | 0.34 |
| Jiaxian Zuo | 6 | 0 | 0.34 |