Solving Symbolic Regression Problems using Incremental Evaluation in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Hoang:2006:CEC,
-
author = "Tuan-Hao Hoang and Daryl Essam and
R. I. (Bob) McKay and Xuan Hoai Nguyen",
-
title = "Solving Symbolic Regression Problems using Incremental
Evaluation in Genetic Programming",
-
booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary
Computation",
-
year = "2006",
-
pages = "7487--7494",
-
address = "Vancouver",
-
month = "16-21 " # jul,
-
publisher = "IEEE Press",
-
keywords = "genetic algorithms, genetic programming, TAG, SYM_GP,
building block, polynomial symbolic regression, Fourier
series",
-
ISBN = "0-7803-9487-9",
-
URL = "http://seal.tst.adfa.edu.au/~z3106820/publications/cec2006.devtag.pdf",
-
DOI = "doi:10.1109/CEC.2006.1688570",
-
size = "8 pages",
-
abstract = "we show some experimental results using Incremental
Evaluation with Tree Adjoining Grammar Guided Genetic
Programming (DEVTAG) on two symbolic regression
problems, a benchmark polynomial fitting problem in
genetic programming, and a Fourier series problem
(saw-tooth problem). In our pilot study, we compare
results with standard Genetic Programming (GP) and the
original Tree Adjoining Grammar Guided Genetic
Programming (TAG3P). Our results on the two problems
are good, outperforming both standard GP and the
original TAG3P.",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.",
- }
Genetic Programming entries for
Tuan-Hao Hoang
Daryl Essam
R I (Bob) McKay
Nguyen Xuan Hoai
Citations