Volume 36, Number 5, October 2018
|Page(s)||890 - 896|
|Published online||17 December 2018|
Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains
School of Electronics and Information, Northwestern Polytechnical University, Xi’an
2 Shenyang Aircraft Design & Research Institute, Shenyang 110035, China
In this paper, based on task sequence and time constraint in the SEAD mission of multi-UAV, a heterogeneous multi-UAV cooperative task assignment mathematical model is established. We put forward a hybrid algorithm GSA-GA(gravity search algorithm-genetic algorithm) to resolve cooperative task assignment. The algorithm combines gravity search algorithm and genetic algorithm, improves the coding and decoding methods in updating the position. The simulation result shows that the GSA-GA has rapid convergence rate in solving the cooperative task assignment compared with the classic DPSO algorithm, and has the better resolution.
Key words: unmanned aerial vehicle(UAV) / collaborative task assignment / SEAD / coupling constraints
关键字 : 无人机 / 协同任务分配 / 压制敌防空系统 / 耦合约束
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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