Research on System for Locating Art Layout Resources Based on Interactive Genetic Algorithm

The first positioning system is an important part of art design, which has guidance for the analysis of the whole art design and art indicators. Therefore, the positioning system can enter the artistic creation more accurately. In view of the limitations of the traditional decision tree algorithm in application in art and design, a research scheme of application in design based on Interactive genetic algorithm was proposed. Firstly, the influencing factors is accurately located through Interactive evaluation theories, and the indicators is reasonably divided to reduce interference, and the Interactive genetic algorithm is used to construct a research scheme for application in design. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional decision tree algorithm in terms of research accuracy and processing time of influencing factors of application in design, and has obvious advantages. The research of application in design plays an extremely important role in art layout , which can accurately predict and optimize the growth characteristics and product generation of art layout . However, the traditional decision tree algorithm has some limitations in solving the problem of art layout simulation, especially when dealing with complex problems. In this paper, this paper proposes a research scheme of application in design based on Interactive genetic algorithm to better solve this problem. In the whole process of research, it was found that the art positioning system can be carried out more comprehensively. design and analysis, where intelligent algorithms can improve the accuracy of the design by between 10% and 20%. Therefore, the design of the entire resource and art system can meet the actual requirements and promote the accuracy of artistic positioning. The scheme accurately locates the influencing factors through Interactive evaluation theories, so as to determine the division of indicators, and uses the Interactive genetic algorithm to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on Interactive genetic algorithm in application in art and design can better solve the limitations of traditional decision tree algorithm and improve the simulation accuracy and efficiency.