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Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database (2007)
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by
Jens Niehaus
,
Christian Igel
,
Wolfgang Banzhaf
| Venue: | IEEE CONGRESS ON EVOLUTIONARY COMPUTATION |
| Citations: | 2 - 1 self |
BibTeX
@MISC{Niehaus07reducingthe,
author = {Jens Niehaus and Christian Igel and Wolfgang Banzhaf},
title = {Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database},
year = {2007}
}
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Abstract
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.
