Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InCollection{hall:2004:GPTP,
author = "John M. Hall and Terence Soule",
title = "Does Genetic Programming Inherently Adopt Structured
Design Techniques?",
booktitle = "Genetic Programming Theory and Practice {II}",
year = "2004",
editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and
Bill Worzel",
chapter = "10",
pages = "159--174",
address = "Ann Arbor",
month = "13-15 " # may,
publisher = "Springer",
keywords = "genetic algorithms, genetic programming, design,
function choice, root node",
ISBN = "0-387-23253-2",
URL = "
http://www.cs.uidaho.edu/~tsoule/research/doesDesign.ps",
doi = "
doi:10.1007/0-387-23254-0_10",
abstract = "Basic genetic programming (GP) techniques allow
individuals to take advantage of some basic top-down
design principles. In order to evaluate the
effectiveness of these techniques, we define a design
as an evolutionary frozen root node. We show that GP
design converges quickly based primarily on the best
individual in the initial random population. This leads
to speculation of several mechanisms that could be used
to allow basic GP techniques to better incorporate
top-down design principles.",
notes = "part of \cite{oreilly:2004:GPTP2}
A version of Santa Fe trail artificial ant, 6-even
parity (given XOR!), intertwined spirals, sin(x),
Battleship
GP robust to forced choice of root node. Differences in
means small compared to variation between runs. In
population of 100 root node almost always converges.",
}
Genetic Programming entries for John M Hall Terence Soule