To the problem of many-to-one Pursuit-Evasion (PE) game strategy,an optimal PE control strategy is proposed in the framework of explicit cooperative guidance.Initially,based on graph theory,the many-to-one PE game problem is transformed into a multi-agent consensus control problem.Then,a critic neural network is utilized to solve the control strategies online by Adaptive Dynamic Programming (ADP) technology. The stability of the system is proved by Lyapunov direct method.Considering that the PE strategies always appear in pairs and it is difficult for a single evader to choose escape strategy,an overall escape strategy calculation method using dynamic weighting is proposed.Finally,a two-dimensional multi-missile attack and defense game model is established to ensure the effectiveness of the game strategy.