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:1.8051

@Article{Niehaus:2007:EC,

• 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",
• journal = "Evolutionary Computation",
• year = "2007",
• volume = "15",
• number = "2",
• pages = "199--221",
• month = "Summer",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1063-6560",
• URL = "http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.2007.15.2.199",
• DOI = "doi:10.1162/evco.2007.15.2.199",
• size = "23 pages",
• 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