Fractals everywhere
Fractal image compression
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Mixed IFS: Resolution of the Inverse Problem Using Genetic Programming
AE '95 Selected Papers from the European conference on Artificial Evolution
Evolving evolution programs: genetic programming and L-systems
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Evolution of human-competitive lossless compression algorithms with GP-zip2
Genetic Programming and Evolvable Machines
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Iterated Function Systems (IFS) are recursive systems that have applications in modeling, animation and, Fractal Image Compression. IFS can be represented as arrays of floating point constants or, as shown in this paper, hierarchical data structures and therefore are good candidates for evolutionary applications. This paper describes a Strongly Typed Genetic Programming (STGP) approach to the automatic generation and evolution of 2D affine IFS, and affine maps in general. We explain the nature of the encoding used in conjunction with STGP, and demonstrate with examples its application to the inverse problem for IFS.