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Updated: Jul 14, 2026

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A Quantitative Fitness Analysis Workflow
Published on: August 13, 2012
Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed database
Jens Niehaus1, Christian Igel, Wolfgang Banzhaf
1Visual Systems Automation GmbH, 59174 Kamen, Germany. niehaus@vsys.de
Evolutionary Computation
|May 31, 2007
Abstract:
In this paper we describe the genetic programming system GGP operating on graphs and introduce the notion of graph isomorphisms to explain how they influence the dynamics of GP. It is shown empirically how fitness databases can improve the performance of GP and how mapping graphs to a canonical form can increase these improvements by saving considerable evaluation time.
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