Abstract
Task assignment is one of the important links in UAV combat planning, which has an important influence on the overall combat effectiveness of the system. UAV task assignment is a typical optimization problem. In this paper, an optimization model of the multi-UAV collaborative task assignment problem is firstly established, and then a coding scheme and a sequence number cross method are designed for the multi-UAV multi-task problem, and the two-parent genetic algorithm is used to solve the problem. The results show that the proposed method has the advantages of faster convergence and higher accuracy under the same calculation conditions than the single parent genetic algorithm, and can effectively solve the multi-task assignment problem of multi-UAV.
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Jia, Y. (2019). Research on UAV Task Assignment Method Based on Parental Genetic Algorithm. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2019. Lecture Notes in Computer Science(), vol 11655. Springer, Cham. https://doi.org/10.1007/978-3-030-26369-0_41
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DOI: https://doi.org/10.1007/978-3-030-26369-0_41
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