Interactive Genetic Algorithm in Fractal Art Teaching and Pattern Design

Interactive genetic algorithm is an intelligent optimization method based on evolutionary theory, which can be solved by random simulation fitness function. In the art of fractal, it is often a rough or fragmented geometric shape, which can be divided into several parts, and each part is the shape after overall reduction. Interactive genetic algorithm is used in fractal art teaching and pattern design, which can optimize its selection and coding, and improve the teaching effect and the beauty of pattern design. in this paper, the efficiency of interactive genetic algorithm in pattern design system is studied by experiment and comparison. the experimental results show that 1413 × the system image processing time under 2120 resolution is not less than 5s. the fractal art pattern design system needs time to meet the actual needs, but it can also be further optimized.