Evolved art via control of cellular automata

Daniel Ashlock, Jeffrey Tsang
2009 2009 IEEE Congress on Evolutionary Computation  
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 landscapes for both fitness
more » ... ctions 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.
doi:10.1109/cec.2009.4983368 dblp:conf/cec/AshlockT09 fatcat:723uq2jtrnbjrgkzl4zg3i57ou