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Visualizing Tree Structures in Genetic Programming
Jason M. Daida, Adam M. Hilss, David J. Ward, and Stephen L. Long
Center for the Study of Complex Systems
and the Space Physics Research Laboratory
The University of Michigan
2455 Hayward Avenue
Ann Arbor, Michigan 48109-2143
Abstract. This paper presents methods to visualize the structure of trees that occur in genetic programming. These methods allow for the inspection of structure of entire trees of arbitrary size. The methods also scale to allow for the inspection of structure for an entire population. Examples are given from a typical problem. The examples indicate further studies that might be enabled by visualizing structure at these scales.
LNCS 2724, p. 1652 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003