A Two-Layer Optimization Algorithm(TLO) for Task Assignment of Multi-Missile Attack Multi-Target

The rationality of the task assignment of multi-missile attack multi-target not only affects the achievability of the attack result, but also affects the rationality of the attack process. In this paper, a Two-layer optimization algorithm (TLO) is proposed, which can converge quickly and stably to the global optimal solution of multi-missile attack multi-target. Aiming at the complex problems that need to encode and decode the optimization parameters, such as traditional genetic algorithm(GA) and particle swarm optimization algorithm(PSO), or the complex processes that need to map the discrete domain to the continuous domain, the TLO proposed in this paper can improve the solving speed and find the global optimal solution more easily, so that multi-missile attack multi-target task assignment strategy can be quickly realized. Aiming at the problem that the traditional situation function only pursues the extreme value of the overall situation function, which leads to the large difference of missile situation within a single target task group, the concept of intra-group variance is introduced in the calculation of situation function, and the problem of small intra-group situation difference is considered in the optimization process of task assignment scheme, which is convenient to complete the intra-group missile cooperation task. Simulation results show that the proposed TLO has fast solving speed and good global optimization effect.