Visualizing tree structures in genetic programming

  • Authors:

  • Jason M. Daida;Adam M. Hilss;David J. Ward;Stephen L. Long

  • Affiliations:

  • Center for the Study of Complex Systems and the Space Physics Research Laboratory, The University of Michigan, Ann Arbor, Michigan;Center for the Study of Complex Systems and the Space Physics Research Laboratory, The University of Michigan, Ann Arbor, Michigan;Center for the Study of Complex Systems and the Space Physics Research Laboratory, The University of Michigan, Ann Arbor, Michigan;Center for the Study of Complex Systems and the Space Physics Research Laboratory, The University of Michigan, Ann Arbor, Michigan

  • Venue:
  • GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
  • Year:
  • 2003

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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.