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Evolved Art via Control of Cellular Automata Daniel Ashlock and Jeffrey Tsang

Summary: Evolved Art via Control of Cellular Automata
Daniel Ashlock and Jeffrey Tsang
Abstract-- This is the second study exploring the creation
of evolved art through evolutionary control of a dynamical
system. Here 1-dimensional cellular automata rules are evolved
to exhibit slow but persistent growth or to undergo planned
senescence. These simple constraints encourage the automata
to develop complex and visually pleasing behavior. Isotropic
automata with a forced quiescent state are used, with rules
evolved using a simple string representation; the fitness land-
scapes for both fitness functions are found to be quite rugged
with many local optima. This is a desirable feature in an evolved
art system as it yields a rich variety of outputs for the artist to
use as image elements. A parameter study is performed and it
is found that optimization of the slow-growth fitness function
favors the use of large populations.
IN [15] initial conditions for a set of position/momentum
symmetric planets orbiting a central star were evolved to
exhibit stability under numerical integration of Newtonian


Source: Ashlock, Dan - Department of Mathematics and Statistics, University of Guelph


Collections: Mathematics