A New Method of UAVs Multi-target Task Assignment

Jia-lei LIU, Zhi-guang SHI, Yan ZHANG

Abstract


For the assignment problem in UAVs against multi-target, model is established of UAV attack advantage and target threat level respectively from attack and defense, and comprehensively establish the UAVs against multi-target optimization model. Transform the model into a multivariable nonlinear optimization problem, an optimization method based on cell winning suppression (CWS) is proposed, set the target simulation scenario to test the performance of CWS. It is also compared with the Hungarian method and Genetic algorithm. Comparing with other mathematical optimization methods, the simulation results show that the CWS algorithm has more advantages in the computational efficiency and the attack of the key targets.

Keywords


UAVs, Multi-target, Optimal assignment, Cell winning suppression, Hungarian optimization, Genetic


DOI
10.12783/dtetr/icmeit2018/23447

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