Add to ORKGAbstract:- 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
This document contains a selection of research works to which I have contributed. It is structured a...
An evolutionary algorithm is used to search for iterated function systems (IFS) that can encode blac...
In this paper a hybrid technique of Genetic Algorithm and Simulated Annealing (HGASA) is applied for...
Abstract:-- Graph fitness optimization is a difficult problem in data fitness. Genetic algorithms(GA...
In this work, we investigate the difficult problem of the optimization of fractal functions. We firs...
It is known that speech signals posses some fractal properties. A novel approach for speech modeling...
Abstract—Fractal image compression explores the self-similarity property of a natural image and util...
Self-affine and piecewise self-affine IFS fractal models have been used to model several different t...
We describe the basics of one-dimensional IFS type fractals including their generation, the forward ...
Though it promised a high compression ratio and high decompression quality, the low fractal image co...
AbstractThis paper presents an improved method of generating a binary image affine IFS (iterated fun...
This paper addresses the problem of compression of data sequences for transmission or storage purpos...
Abstract — The chaos game, in which a moving point is repeatedly averaged toward randomly selected v...
The study of chaotic dynamical systems has given rise to a new geometry for classifying non-integral...
Genetic Algorithms (GAs) are direct searching methods which require little information from design s...
This document contains a selection of research works to which I have contributed. It is structured a...
An evolutionary algorithm is used to search for iterated function systems (IFS) that can encode blac...
In this paper a hybrid technique of Genetic Algorithm and Simulated Annealing (HGASA) is applied for...
Abstract:-- Graph fitness optimization is a difficult problem in data fitness. Genetic algorithms(GA...
In this work, we investigate the difficult problem of the optimization of fractal functions. We firs...
It is known that speech signals posses some fractal properties. A novel approach for speech modeling...
Abstract—Fractal image compression explores the self-similarity property of a natural image and util...
Self-affine and piecewise self-affine IFS fractal models have been used to model several different t...
We describe the basics of one-dimensional IFS type fractals including their generation, the forward ...
Though it promised a high compression ratio and high decompression quality, the low fractal image co...
AbstractThis paper presents an improved method of generating a binary image affine IFS (iterated fun...
This paper addresses the problem of compression of data sequences for transmission or storage purpos...
Abstract — The chaos game, in which a moving point is repeatedly averaged toward randomly selected v...
The study of chaotic dynamical systems has given rise to a new geometry for classifying non-integral...
Genetic Algorithms (GAs) are direct searching methods which require little information from design s...
This document contains a selection of research works to which I have contributed. It is structured a...
An evolutionary algorithm is used to search for iterated function systems (IFS) that can encode blac...
In this paper a hybrid technique of Genetic Algorithm and Simulated Annealing (HGASA) is applied for...