Code Growth in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{soule:1996:cgGP,
-
author = "Terence Soule and James A. Foster and John Dickinson",
-
title = "Code Growth in Genetic Programming",
-
booktitle = "Genetic Programming 1996: Proceedings of the First
Annual Conference",
-
editor = "John R. Koza and David E. Goldberg and
David B. Fogel and Rick L. Riolo",
-
year = "1996",
-
month = "28--31 " # jul,
-
keywords = "genetic algorithms, genetic programming, Maze, agent,
while, noop",
-
pages = "215--223",
-
address = "Stanford University, CA, USA",
-
publisher = "MIT Press",
-
URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap26.pdf",
-
URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
-
URL = "https://dl.acm.org/doi/pdf/10.5555/1595536.1595563",
-
size = "9 pages",
-
abstract = "we examine how quickly the programs generated using
genetic programming grow in size. We found that without
a constraint mechanism the programs will grow
indefinitely regardless of whether or not the growth
acts to improve the programs solutions. This growth is
dominated by non-functional code. If the non-functional
code is removed the growth is dominated by functional,
but non-executed code. Two methods of controlling the
growth: removing non-functional code, and selective
pressure applied by penalising longer programs, are
compared. Only the later method appears to be effective
in bounding the programs' size.",
-
notes = "GP-96",
- }
Genetic Programming entries for
Terence Soule
James A Foster
John Dickinson
Citations