Detecting and Pruning Introns for Faster Decision Tree Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Eggermont:PPSN:2004,

• author = "Jeroen Eggermont and Joost N. Kok and Walter A. Kosters",
• title = "Detecting and Pruning Introns for Faster Decision Tree Evolution",
• booktitle = "Parallel Problem Solving from Nature - PPSN VIII",
• year = "2004",
• editor = "Xin Yao and Edmund Burke and Jose A. Lozano and Jim Smith and Juan J. Merelo-Guerv\'os and John A. Bullinaria and Jonathan Rowe and Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
• volume = "3242",
• pages = "1071--1080",
• series = "LNCS",
• address = "Birmingham, UK",
• publisher_address = "Berlin",
• month = "18-22 " # sep,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, bloat",
• ISBN = "3-540-23092-0",
• URL = "http://www.liacs.nl/~kosters/ppsn8/ppsn2004.pdf",
• URL = "https://rdcu.be/dc0jz",
• DOI = "doi:10.1007/b100601",
• DOI = "doi:10.1007/978-3-540-30217-9_108",
• size = "10 pages",
• abstract = "We show how the understandability and speed of genetic programming classification algorithms can be improved, without affecting the classification accuracy. By analysing the decision trees evolved we can remove the unessential parts, called introns, from the discovered decision trees. Since the resulting trees contain only useful information they are smaller and easier to understand. Moreover, by using these pruned decision trees in a fitness cache we can significantly reduce the number of unnecessary fitness calculations.",
• notes = "PPSN-VIII",

}

Genetic Programming entries for Jeroen Eggermont Joost Kok Walter A Kosters

Citations