Multi-aircraft Cooperative Target Allocation in BVR Air Combat Using Cultural-Genetic Algorithm

According to the characteristics of BVR (Beyond Visual Range) air combat, a mathematical model of multi-aircraft cooperative target allocation problem was built. Also a Cultural-Genetic Algorithm is proposed to solve this problem, which integrates cultural algorithm and genetic algorithm effectively. Based on the framework of Cultural Algorithm, Genetic Algorithm is selected as the evolutionary algorithm of population space. The knowledge of reasonable allocation plans is extracted from population space and stored in a belief space, which will influence the selection and mutation operation of Genetic Algorithm to make the optimization fast and accurate. Simulation results on typical application instances show that this algorithm is more efficient in performance than traditional Genetic Algorithm.