An Optimal Allocation Method for Cooperative Jamming Resources Based on Multi-agent Genetic Algorithm

To solve the problem of jamming resource allocation under the condition of manned aircraft and electronic jamming UAV formation cooperative countermeasure, an optimal allocation method based on the improvement of cover effectiveness is proposed. Firstly, the exposed area model of cooperative electronic jamming is established and based on the multi-computer cooperative suppression jamming scenario; secondly, based on the security area in the jamming effectiveness evaluation criteria, an evaluation index of the effectiveness of cooperative countermeasures with and without people is proposed, and an optimization model of distribution is established; finally, the integer coding mechanism is introduced into the multi-agent genetic algorithm to improve the efficiency of the model optimization, and the specific solution steps are given. The simulation results show that, compared with the traditional genetic algorithm, the proposed method has better global optimization ability and convergence stability, and can solve the jamming resource allocation problem.