Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InCollection{punch:1996:aigp2,
author = "William F. Punch and Douglas Zongker and
Erik D. Goodman",
title = "The Royal Tree Problem, a Benchmark for Single and
Multiple Population Genetic Programming",
booktitle = "Advances in Genetic Programming 2",
publisher = "MIT Press",
year = "1996",
editor = "Peter J. Angeline and K. E. {Kinnear, Jr.}",
pages = "299--316",
chapter = "15",
address = "Cambridge, MA, USA",
keywords = "genetic algorithms, genetic programming",
ISBN = "0-262-01158-1",
URL = "
http://cisnet.mit.edu/Advances-in-Genetic-Programming/316",
abstract = "We have previously shown how a genetic algorithm (GA)
can be used to perform {"}data mining,{"} the discovery
of particular/important data within large datasets, by
finding optimal data classifications using known
examples. However, these approaches, while successful,
limited data relationships to those that were
{"}fixed{"} before the GA run. We report here on an
extension of our previous work, substituting a genetic
program (GP) for a GA. The GP could optimize data
classification, as did the GA, but could also determine
the functional relationships among the features. This
gave improved performance and new information on
important relation ships among features. We discuss the
overall approach, and compare the effectiveness of the
GA vs. GP on a biochemistry problem, the determination
of the involvement of bound water molecules in protein
interactions.",
notes = "
Also available as GARAGe96-01-01",
size = "18 pages",
}
Genetic Programming entries for William F Punch Douglas Zongker Erik Goodman