Application of improved genetic ant colony optimization in radar resource interference allocation

Under the condition of limited interference resources, how to maximize the benefits of multiple jammers interfering with multiple radars has become a research hotspot. This paper has designed a reasonable interference evaluation method. Aiming at the disadvantages of genetic algorithm and ant colony optimization, made some improvements, and combined genetic methods and ant colony optimization, besides, a new crossover and mutation method based on constraints is proposed, which overcomes the shortcomings of invalid iteration of genetic algorithm and easy to fall into local optimal solution of ant colony optimization. Through simulation analysis, the fused algorithm can reach the optimal value within a short number of iterations, improving the utilization efficiency of the jammer.