Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters

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

@InProceedings{feldt:2000:feeeGP,

• author = "Robert Feldt and Peter Nordin",
• title = "Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2000",
• year = "2000",
• editor = "Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty",
• volume = "1802",
• series = "LNCS",
• pages = "271--282",
• address = "Edinburgh",
• publisher_address = "Berlin",
• month = "15-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming: Poster",
• ISBN = "3-540-67339-3",
• URL = "http://citeseer.ist.psu.edu/325152.html",
• URL = "http://drfeldt.googlepages.com/feldt_2000_factorial_exp_gp_params.pdf",
• DOI = "doi:10.1007/978-3-540-46239-2_20",
• abstract = "Statistical techniques for designing and analyzing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary classification problems are investigated in a total of seven experiments consisting of 1108 runs of a machine code genetic programming system. The parameters having the largest effect in these experiments are the population size and the number of generations. A large number of parameters have negligible effects. The experiments indicate that the investigated genetic programming system is robust to parameter variations, with the exception of a few important parameters.",
• notes = "EuroGP'2000, part of \cite{poli:2000:GP}",

}

Genetic Programming entries for Robert Feldt Peter Nordin

Citations