DocumentCode :
342836
Title :
Manipulation of non-linear IFS attractors using genetic programming
Author :
Raynal, Frédéric ; Lutton, Evelyne ; Collet, Pierre ; Schoenauer, Marc
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
Volume :
2
fYear :
1999
fDate :
1999
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
Keywords :
computational geometry; fractals; genetic algorithms; interactive systems; Non-linear Iterated Function Systems; Polar IFS attractors; classical GP scheme; fractal theory; genetic programming; interactive generation; interactively artistic fractal 2D shapes; irregular shapes; mathematical objects; mixed IFS attractors; non-linear IFS attractors; nonlinear IFSs; random generation; Extraterrestrial measurements; Fractals; Genetic programming; Image coding; Image generation; Java; Mathematical model; Power generation; Power system modeling; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
Type :
conf
DOI :
10.1109/CEC.1999.782556
Filename :
782556
Link To Document :
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