Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{conf/eurocast/ZavoianuKKZA11,

• author = "Alexandru-Ciprian Zavoianu and Gabriel Kronberger and Michael Kommenda and Daniela Zaharie and Michael Affenzeller",
• title = "Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process",
• booktitle = "13th International Conference on Computer Aided Systems Theory, EUROCAST 2011",
• year = "2011",
• editor = "Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia",
• volume = "6927",
• series = "Lecture Notes in Computer Science",
• pages = "264--271",
• address = "Las Palmas de Gran Canaria, Spain",
• month = feb # " 6-11",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, symbolic regression, solution parsimony, bloat control",
• isbn13 = "978-3-642-27548-7",
• DOI = "doi:10.1007/978-3-642-27549-4_34",
• abstract = "This research is focused on reducing the average size of the solutions generated by an enhanced GP process without affecting the high predictive accuracy the method exhibits when being applied on a complex, industry proposed, regression problem. As such, the effects the GP enhancements have on bloat have been studied and, finally, a bloat control system based on dynamic depth limiting (DDL) and iterated tournament pruning (ITP) was designed. The resulting bloat control system is able to improve by about 40percent the average GP solution parsimony without impacting average solution accuracy.",
• notes = "Revised Selected Papers. http://ciprian-zavoianu.blogspot.co.uk/",
• affiliation = "Department of Computer Science, West University of Timisoara, Romania",
• bibdate = "2012-02-01",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/eurocast/eurocast2011-1.html#ZavoianuKKZA11",

}

Genetic Programming entries for Ciprian Zavoianu Gabriel Kronberger Michael Kommenda Daniela Zaharie Michael Affenzeller

Citations