RESEARCH ON OPERATION STRATEGY OF ONLINE TRADING PLATFORM BASED ON STOCHASTIC EVOLUTIONARY GAME

In view of some illegal issues arising from the development of platform-based e-commerce, it is essential to build a complete regulatory system. Because there are many random disturbance factors in the real society, this requires that we should not be limited to research and analysis in a deterministic environment. Based on this, this paper con-structs a stochastic evolutionary game model between government-platform-merchants, and improves the replication dynamic system of the model by adding Gaussian white noise. Then use the stochastic differential equation stability discriminant theorem to an-alyze the stability of the model, so as to obtain the stability conditions of the system. Finally, the influence of different disturbance intensities on the decision-making behavior of the subject is further discussed through MATLAB simulation. The results showed that random disturbance has had a certain impact on the decision-making of each subject. As the intensity of the disturbance increases, the time for each subject to evolve to a stable strategy will be extended and the volatility of the evolution curve will also increase, but the strategy will evolve to a stable state after a period of time.