The dynamic event triggered mechanism is used to design a distributed optimization algorithm for multi-agent systems.Compared with traditional static triggered control,the dynamic event triggered controller based on Lyapunov function can effectively reduce the communication burden between agents as well as the calculation burden of controllers.In addition,the event triggering condition is designed using periodic sampling information,thus is not required to be checked repeatedly by agents.Moreover,Zeno behavior can be avoided.A numerical simulation is given to verify the effectiveness of the algorithm.