Controlling Code Growth in Genetic Programming by Mutation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{ekart:1999:ccgGPm,

• author = "Aniko Ekart",
• title = "Controlling Code Growth in Genetic Programming by Mutation",
• booktitle = "Late-Breaking Papers of EuroGP-99",
• year = "1999",
• editor = "W. B. Langdon and Riccardo Poli and Peter Nordin and Terry Fogarty",
• pages = "3--12",
• address = "Goteborg, Sweden",
• month = "26-27 " # may,
• organisation = "EvoGP",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/eebic/eurogp99/eurogp99_lbp.html",
• URL = "ftp://ftp.cwi.nl/pub/CWIreports/SEN/SEN-R9913.pdf",
• URL = "ftp://ftp.cwi.nl/pub/CWIreports/SEN/SEN-R9913.ps.Z",
• abstract = "In the paper a method that moderate code growth in genetic programming is presented. The addressed problem is symbolic regression. A special mutation operator is used for the simplification of programs. If every individual program in each generation is simplified, then performance of the genetic programming system is worsened. But if simplification is applied as a mutation operator, more compact solutions of the same or better accuracy can be obtained",
• notes = "EuroGP'99LB part of \cite{langdon:1999:egplb}",

}

Genetic Programming entries for Aniko Ekart

Citations