Target Distributing of Multi-UAVs Cooperate Attack and Defend Based on DPSO Algorithm

For target assignment problem of multi-UAV intercept enemy airplane in collaborative combat mission. Through analysis the main factors affecting target assignment, fusion situation advantage index and air combat capability index, establish comprehensive advantage evaluation matrix. Give the relative importance fuzzy index value based on expert experience. Fuzzy optimization model is used to calculate the comprehensive advantage evaluation index. Establish comprehensive advantage evaluation matrix. Focus on the importance of UAV priorities factors. Definition cooperative attack & defense matrix, get the cooperative attack and defense model. According to the target battle value, using the discrete particle swarm optimization algorithm(DPSO) and cooperative attack and defense model for optimal targets allocation. The simulation results show: DPSO has a fast convergence speed, the advantages of powerful optimizing ability etc, can effectively solve the multi-goal optimization allocation problem.