abstract = "We describe an approach to generating animations of
drawings that start as a random collection of strokes
and gradually resolve into a recognizable subject. The
strokes are represented as tree based genetic programs.
An animation is generated by rendering the best
individual in a generation as a frame of a movie. The
resulting animations have an engaging characteristic in
which the target slowly emerges from a random set of
strokes. We have generated two qualitatively different
kinds of animations, ones that use grey level straight
line strokes and ones that use binary Bezier curve
stokes. Around 100,000 generations are needed to
generate engaging animations. Population sizes of 2 and
4 give the best convergence behaviour. Convergence can
be accelerated by using information from the target in
drawing a stroke. Our approach provides a large range
of creative opportunities for artists. Artists have
control over choice of target and the various stroke
parameters.",
notes = "GECCO-2009 A joint meeting of the eighteenth
international conference on genetic algorithms
(ICGA-2009) and the fourteenth annual genetic
programming conference (GP-2009).