Intelligent decision-making method for multi-interceptor cooperative attack

Aiming at the key problem in modern air combat: intelligent decision-making for multi-interceptor cooperative attack, an integrated air combat superiority index method was proposed to evaluate the air combat superiority and a target-assignment mathematical model was established. The target-assignment principle for multi-interceptor cooperative attack is to maximize air combat superiority. An improved ant colony algorithm was proposed to solve the target-assignment problem. During the process of solution, ants incline to choose those single interceptor attacking plans which cooperated well before to form cooperative attacking plans. The "mutation operation" was introduced to expand the searching space of the algorithm and the "self-adaptive perturbation mechanism" can avoid the prematurity of the algorithm. Finally, a typical simulation study was carried out to illustrate its validity.