Optimization of Affine Fractal Interpolation Function for Graph Fitness using Genetic Algorithms

摘要

Fractal is a tool in data fitness and interpolation. It's better to fit complex graphs. But optimization of fitness has proven to be a challenging problem in application of fractal. In this paper, a description of a genetic algorithm (GA) and the software written to optimize effect on self-affine fractal interpolation function (AFIF) implement is given. The software developed was tested on real graph. The method was capable of finding optimization fractal function, as the results presented demonstrate.