An Optimization System of Environmental Art Design Management Based on Genetic Algorithm

Modern society is developing rapidly, and my country’s national strength has been improved in an all-round way. The prosperity of the economy will inevitably lead to the prosperity of culture and education, and the environmental art and design profession is booming under the impetus of the social economy. This paper mainly studies the optimization of environmental art design management system based on genetic algorithm. This paper analyzes the feasibility of system development, and tests the performance and load pressure of the system. The experiment shows that before the number of concurrent users logging in to the system reaches 100, the success rate is 100%; when the number of concurrent users reaches 200, the success rate is only in 96% of cases, some users’ requests to link to the system were rejected.