Solving Symbolic Regression Problems using Incremental Evaluation in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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 =        "6-21 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  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