Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Niehaus:2007:EC,
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author = "Jens Niehaus and Christian Igel and Wolfgang Banzhaf",
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title = "Reducing the Number of Fitness Evaluations in Graph
Genetic Programming Using a Canonical Graph Indexed
Database",
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journal = "Evolutionary Computation",
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year = "2007",
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volume = "15",
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number = "2",
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pages = "199--221",
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month = "Summer",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1063-6560",
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URL = "http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.2007.15.2.199",
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DOI = "doi:10.1162/evco.2007.15.2.199",
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size = "23 pages",
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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.",
- }
Genetic Programming entries for
Jens Niehaus
Christian Igel
Wolfgang Banzhaf
Citations