GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
An artificial development model for cell pattern generation
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
Image processing using 3-state cellular automata
Computer Vision and Image Understanding
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IWSOS'11 Proceedings of the 5th international conference on Self-organizing systems
Heterochronic scaling of developmental durations in evolved soft robots
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Form generation or morphogenesis is one of the main stages of both artificial and natural development. This paper provides results from experiments in which a genetic algorithm (GA) was used to evolve cellular automata (CA) to produce predefined 2D and 3D shapes. The GA worked by evolving the CA rule table and the number of iterations that the model was to run. After the final chromosomes were obtained for all shapes, the CA model was allowed to run starting with a single cell in the middle of the lattice until the allowed number of iterations was reached and a shape was formed. In all cases, mean fitness values of evolved chromosomes were above 80.