Fractals everywhere
Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Genetic programming's continued evolution
Advances in genetic programming
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Chaos and Fractals
Applied Intelligence
Automatic Generation of Affine IFS and Strongly Typed Genetic Programming
Proceedings of the Second European Workshop on Genetic Programming
ArtiE-fract: the artist's viewpoint
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
On interactive evolution strategies
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
An interactive EA for multifractal bayesian denoising
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
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Interactive evolution of complex yet aesthetically pleasing images has generally concentrated on the acquisition of single images. In this paper, a method for evolving fractal movies is presented. Here, the interest is not only for each individual frame of the movie to be a fractal but that the progression of frames also have a fractal relationship. This paper defines a method for representing a fractal set of fractals, the Meta-IFS, and uses an interactive evolutionary program to create examples of this mathematical structure. Self-adaptive parameters are used in the evolving individuals to help identify and exploit trends in the interactive evolutionary process dynamically.