Design and Implementation of Digital Campus System Based on Improved Genetic Algorithm

Abstract

The digital campus system is based on a computer network and can collect and process existing information to achieve the purpose of modernization of school education, teaching and management. The genetic algorithm does not need to establish a mathematical model and input a large amount of auxiliary information when it is optimized to solve the problem, and it can manage the school well. For this reason, this paper studies and improves the application of genetic algorithm in the design of digital campus system to improve the accuracy of the system. This article mainly uses the experimental method and statistical method to summarize and sort the data formed by the system test, and provide a feasible scheme for the design of the digital campus system. Experimental research shows that the accuracy of the system can reach more than 90% after applying the improved genetic algorithm, which is a design that meets the requirements of the system.