Multi-Objective Optimization Analysis of School Financial Security Management System Based on Genetic Algorithm

Colleges and universities are an indispensable part of talent training and construction. With the continuous development of information technology, there are many drawbacks based on traditional manual management. It is necessary to study and design the school financial security. In order to improve the financial security of the school, it is necessary to conduct in-depth research on its management system. Genetic algorithm(GA) can play a role of multi-objective optimization in the system. This paper is mainly based on GA, and based on the security of college financial information, combined with the actual situation of the school to analyze and summarize. The school financial security management system proposed in this paper is tested through systematic experiments. The experimental results show that the pressure test indicators of the system designed in this paper basically meet the requirements, the response time is lower than the expected time, and the response ability is excellent.