An improved genetic algorithm of solving IFS code of fractal image

作者：Xuan Yang, Liang Dequn · 年份：2002 · DOI：10.1109/icsigp.1996.566586 · 被引用次数：12 · 研究领域：Mathematical Dynamics and Fractals、Neural Networks and Applications、Metaheuristic Optimization Algorithms Research

The IFS code is an important characteristic of fractal image in the iterative function system. A new method (GAIFS) based on genetic algorithm to obtain the IFS code of the fractal image is developed, the influence of mutation and crossover probability on the process is discussed also. The traditional genetic algorithm and convergence powers are improved. Several processing methods preventing this algorithm from converging into local optimum are proposed. Finally, experimental results are provided to demonstrate the good performance of the developed method.