Using Multi-layer Coding Genetic Algorithm to Solve Time-Critical Task Assignment of Heterogeneous UAV Teaming

Due to the advantages of feasibility, efficiency, and flexibility, carrying out the anti-radar applications by using a heterogeneous unmanned aerial vehicle (UAV) team owes more and more attention. During the anti-radar application, the cooperative task assignment is essential and plays a key influe...

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Bibliographic Details
Published in2019 International Conference on Control, Automation and Diagnosis (ICCAD) pp. 1 - 5
Main Authors Gaowei, Jia, Jianfeng, Wang, Peng, Wang, Qingyang, Chen, Yujie, Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2019
Subjects
Biological cells
Encoding
formatting
Genetic algorithms
heterogeneous UAV team
multi-layer genetic algorithm component
Sociology
Statistics
Task analysis
task assignment
Unmanned aerial vehicle
Unmanned aerial vehicles
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Summary:Due to the advantages of feasibility, efficiency, and flexibility, carrying out the anti-radar applications by using a heterogeneous unmanned aerial vehicle (UAV) team owes more and more attention. During the anti-radar application, the cooperative task assignment is essential and plays a key influence on the final result. Specially, one of the characters of multi-UAV task assignment is the strong temporal relationship. To solve the time-critical task assignment of heterogeneous UAV team, a multi-layer coding genetic algorithm is proposed, which maintains the ability of global search and parallel computing. Eventually, detailed analysis and simulation test show the effectiveness of the algorithm.
DOI:10.1109/ICCAD46983.2019.9037897