MDL-Based Fitness Functions for Learning Parsimonious Programs

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

@InProceedings{zhang:1995:MDLbff,

• author = "Byoung-Tak Zhang and Heinz M{\"u}hlenbein",
• title = "MDL-Based Fitness Functions for Learning Parsimonious Programs",
• booktitle = "Working Notes for the AAAI Symposium on Genetic Programming",
• year = "1995",
• editor = "E. V. Siegel and J. R. Koza",
• pages = "122--126",
• address = "MIT, Cambridge, MA, USA",
• publisher_address = "445 Burgess Drive, Menlo Park, CA 94025, USA",
• month = "10--12 " # nov,
• publisher = "AAAI",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-018.pdf",
• URL = "http://www.aaai.org/Library/Symposia/Fall/fs95-01.php",
• size = "5 pages",
• abstract = "In this paper we use a Bayesian model-comparison method to develop a framework in which a class of fitness measures is introduced for dealing with problems of parsimony based on the minimum description length (MDL) principle (Rissanen 1986). We then describe an adaptive technique for putting this fitness function into practice.",
• notes = "AAAI-95f GP. Part of \cite{siegel:1995:aaai-fgp} {\em Telephone:} 415-328-3123 {\em Fax:} 415-321-4457 {\em email} info@aaai.org {\em URL:} http://www.aaai.org/",

}

Genetic Programming entries for Byoung-Tak Zhang Heinz Muhlenbein

Citations