Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{hoai:2002:stsrpwtgggptcr,
author = "N. X. Hoai and R. I. McKay and D. Essam and R. Chau",
title = "Solving the Symbolic Regression Problem with
Tree-Adjunct Grammar Guided Genetic Programming: The
Comparative Results",
booktitle = "Proceedings of the 2002 Congress on Evolutionary
Computation CEC2002",
editor = "David B. Fogel and Mohamed A. El-Sharkawi and
Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and
Mark Shackleton",
pages = "1326--1331",
year = "2002",
publisher = "IEEE Press",
publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
organisation = "IEEE Neural Network Council (NNC), Institution of
Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
ISBN = "0-7803-7278-6",
month = "12-17 " # may,
notes = "CEC 2002 - A joint meeting of the IEEE, the
Evolutionary Programming Society, and the IEE. Held in
connection with the World Congress on Computational
Intelligence (WCCI 2002)",
keywords = "genetic algorithms, genetic programming",
abstract = "We show some experimental results of tree-adjunct
grammar guided genetic programming [6] (TAG3P) on the
symbolic regression problem, a benchmark problem in
genetic programming. We compare the results with
genetic programming [9] (GP) and grammar guided genetic
programming [14] (GGGP). The results show that TAG3P
significantly outperforms GP and GGGP on the target
functions attempted in terms of probability of success.
Moreover, TAG3P still performed well when the
structural complexity of the target function was scaled
up.",
}
Genetic Programming entries for Nguyen Xuan Hoai R I (Bob) McKay Daryl Essam R Chau