Abstract:

Anti-missile combat firepower task allocation modeling in terminal phase is a complex uncertain multi-constraint problem. Firstly, a two-layer anti-tactical ballistic missile (TBM) firepower-target match model is established. Secondly, the optimization algorithm named attractor particle swarm optimization(APSO) is given to solve this model. The concept of attractor is introduced, which enhances power of local search and attracts particles to gather in the best position. In order to solve the problem, the firepowertarget task is decomposed into many sub-periods and APSO is used to optimize such sub-periods. Experimental studies show that APSO algorithm is better in convergence accuracy especially in convergence speed, and it fulfills the demand of anti-TBM combat firepower task allocation efficiently.