Optimization of weights for air combat situation assessment based on NRO

The weights of various factors in air combat situation assessment are determined by experts, which has certain subjectivity and limitations. This manuscript uses heuristic optimization algorithms to optimize the weights. Firstly, the advantage functions of angle, speed, altitude, and distance are established, and the close-range air combat status information is quantified as situational description parameters. Secondly, use the physical heuristic nuclear reaction optimization (NRO) algorithm to optimize the situational function weights, achieving the optimal situational combination. Through a set of air combat situational weight optimization experiment, the results show that NRO is better than the selected comparative optimization algorithms.