Economic Model Management and Application System Development Based on Genetic Algorithm

With the rapid advancement of computer technology, people have put forward higher-level and more comprehensive needs in fields such as computer science and network communications. In this context, an economic model algorithm needs to be established to solve complex, changeable and difficult-to-handle practical problems. This article aims to analyze the information asymmetry that exists in economic management and the contradiction between manual operation and machine working modes, and also designs a set of computer system models that are universal and of high practical value, thereby transforming abstract mathematics into practices that can be applied to the real world. Afterwards, this article simulates the performance of the system model. The simulation results show that the prediction accuracy of the system is between 90% and 98%, and the error rate is within 10%; the resource utilization range is between 2% and 6%, and the production efficiency is between 90% and 93%. This shows that the system has a low resource utilization ratio and high production efficiency.