Interactive GA-based Fractal Art Pattern Design Optimization Method

摘要

In order to optimize the design of fractal art pattern and provide the customers the fractal pattern with different fitness, this paper adopts the interactive genetic algorithm. It firstly gives a simple introduction to the generation methods of fractal art pattern, then elaborates the advantage of adjustable fitness, the mathematic model and the flow of interactive genetic algorithm, and finally tests the performance of it in the pattern design by simulation experiment and compares the results by queuing evaluation and fuzzy evaluation. Experimental results show that the algorithm proposed in this paper has good effect in optimizing the fractal art pattern.