An improved discrete simulated annealing genetic algorithm(IDSA-GA)with random keys is proposed to optimize the resource allocation process in the context of distributed jammers covering target penetration radar networks.An interference effect evaluation function based on the fusion detection probability of radar networks is constructed,and IDSA-GA is used to optimize and solve the function.IDSA-GA introduces random keys on the basis of simulated annealing genetic algorithm(SA-GA)to discretize the algorithm.And during the iteration process,memory function is added to overcome the phenomenon of premature convergence.The simulation results show that compared with GA,the proposed IDSA-GA converges quickly and has strong optimization ability,which can effectively solve the problem of optimizing interference resource allocation.
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