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

نویسندگان

  • JIN MIN
  • WANG QIN
  • XI LIFENG
چکیده

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. Key-Words: Genetic Algorithm; Fractal; AFIF; Fitness; Optimization;

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تاریخ انتشار 2007