Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{Langdon:1996:usedata,
author = "W. B. Langdon",
title = "Using Data Structures within 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, context free
language induction, context free grammar CFG, matched
brackets, Dyck language, Reverse Polish Expressions,
automatic code generation, Automatic Programming,
Machine Learning, Artificial Evolution, Data
Structures, Object Oriented Programming, Push down
Stack, Automatically Defined Functions (ADF), Pareto
fitness, Demes",
pages = "141--148",
address = "Stanford University, CA, USA",
publisher = "MIT Press",
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/WBL.gp96.ps",
size = "9 pages",
abstract = "Provision of appropriately structured memory is shown,
in some cases, to be advantageous to genetic
programming (GP) in comparison with directly
addressable indexed memory.
Three ``classic'' problems are solved. The first two
require the GP to distinguish between sentences that
are in a context free language and those that are not
given positive and negative training examples of the
language. The two languages are, correctly nested
brackets and a Dyck language (correctly nested brackets
of different types). The third problem is to evaluate
integer Reverse Polish (postfix)
expressions.
Comparisons are made between GP attempting to solve
these problems when provided with indexed memory or
with stack data structures.",
notes = "GP-96. Replaces \cite{Langdon:1996:usedataRN}",
}
Genetic Programming entries for William B Langdon