Is Ambiguity Useful or Problematic for Grammar Guided Genetic Programming?

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

@InProceedings{hoai:2002:SEAL,
  author =       "Nguyen Xuan Hoai and Yin Shan and Robert Ian McKay",
  title =        "Is Ambiguity Useful or Problematic for Grammar Guided
                 Genetic Programming?",
  booktitle =    "Procedings of the 4th Asia-Pacific Conference on
                 Simulated Evolution And Learning (SEAL'02)",
  year =         "2002",
  editor =       "Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and 
                 Jong-Hwan Kim and Xin Yao",
  pages =        "449--454",
  address =      "Orchid Country Club, Singapore",
  month =        "18-22 " # nov,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "981-04-7522-5",
  URL =          "http://www.cs.adfa.edu.au/~shanyin/publications/ambiguity.pdf",
  URL =          "http://citeseer.ist.psu.edu/545311.html",
  URL =          "http://sc.snu.ac.kr/PAPERS/ambiguity.pdf",
  abstract =     "In [2] Antonisse made a conjecture that unambiguous
                 grammars are better candidates for grammar-guided
                 genetic learning. In this paper, we empirically show
                 that it is not always the case, especially when the
                 structural ambiguity is boosted by semantic
                 redundancies in the grammar. We also show that the
                 search space (or genotype space) of grammar guided
                 genetic programming (GGGP) is truly tree sets rather
                 than string sets of formalisms.",
  notes =        "SEAL 2002 see
                 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.200.6410&rep=rep1&type=pdf",
  notes =        "Refereed International Conference Papers",
}

Genetic Programming entries for Nguyen Xuan Hoai Yin Shan R I (Bob) McKay

Citations