Visualizing Tree Structures in Genetic Programming

  title={Visualizing Tree Structures in Genetic Programming},
  author={Jason M. Daida and Adam M. Hilss and David J. Ward and Stephen L. Long},
  journal={Genetic Programming and Evolvable Machines},
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 even though several thousands of nodes may be involved. The methods also scale to allow for the inspection of structure for entire populations and for complete trials even though millions of nodes may be involved. Examples are given that demonstrate how this new way of “seeing” can afford a potentially rich way of understanding… CONTINUE READING
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