Manipulation of Non-Linear IFS Attractors Using Genetic Programming
Inhaltsverzeichnis
Reference
Frederic Raynal and Evelyne Lutton and Pierre Collet and Marc Schoenauer: Manipulation of Non-Linear IFS Attractors Using Genetic Programming. Proceedings of the Congress on Evolutionary Computation, Vol. 2, pp. 1171-1177, IEEE Press, 6-9 July 1999.
DOI
http://dx.doi.org/10.1109/CEC.1999.782556
Abstract
Non-linear Iterated Function Systems (IFSs) are very powerful mathematical objects related to fractal theory, that can be used in order to generate (or model) very irregular shapes. We investigate how genetic programming techniques can be efficiently exploited in order to generate randomly or interactively artistic “fractal” 2D shapes. Two applications are presented for different types of nonlinear IFSs: interactive generation of mixed IFS attractors using a classical GP scheme; and random generation of Polar IFS attractors based on an “individual” approach of GP
Extended Abstract
Bibtex
Used References
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