Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Genetic programming II (videotape): the next generation
Genetic programming II (videotape): the next generation
Evolving cellular automata to perform computations: mechanisms and impediments
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Mechanisms of Emergent Computation in Cellular Automata
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Generating Multimedia Content with Cellular Automata
IEEE MultiMedia
The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music (Natural Computing Series)
The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music (Natural Computing Series)
Evolutionary Computation for Modeling and Optimization
Evolutionary Computation for Modeling and Optimization
The Readers Project: procedural agents and literary vectors
ACM SIGGRAPH 2011 Art Gallery
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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 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.