Trust Network Model of Genetic Algorithm in E-commerce Simulation Teaching Simulation

The trust network model in e-commerce (EC) systems can effectively identify and prevent risks and fraudulent behavior, which plays an important role in improving the security and trust of EC. This article studies the application of genetic algorithms (GA) in EC, with the aim of improving the efficiency of EC simulation teaching and improving teaching effectiveness. This article focuses on the establishment of an EC trust network model, using GA for optimization and improvement, and conducting simulation experiments to verify its feasibility and effectiveness. GA can effectively optimize EC trust network models, improve their accuracy and stability, and have certain research significance and application value.