Target assignment based on matrix transform-genetic algorithm in cooperative air combat

In cooperative air combat the constraint conditions are often difficult to guarantee in the process of target assignment´s solution solving. To cope with this problem, a target assignment algorithm based on matrix transform-genetic algorithm is proposed. First, the preference index is introduced to establish a new target assignment model concerning damage probability to enemy and the consumption of the missile. Then, in order to satisfy the constraints, a new method of crossover and mutation operation based on matrix transformation is designed under the premise of retaining the framework of classic genetic algorithm. The simulation results indicate that, the feasibility of the solution is ensured and the optimal results of target assignment are quickly found simultaneously. Therefore the validity of the model and method is verified.