HS-Model: a hierarchical statistical subtree-generating model for genetic programming

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@InProceedings{WenLZ:2009:GEC,
  author =       "Lingyun Wen and Guiquan Liu and Yinghai Zhao",
  title =        "HS-Model: a hierarchical statistical
                 subtree-generating model for genetic programming",
  booktitle =    "GEC '09: Proceedings of the first ACM/SIGEVO Summit on
                 Genetic and Evolutionary Computation",
  year =         "2009",
  editor =       "Lihong Xu and Erik D. Goodman and Guoliang Chen and 
                 Darrell Whitley and Yongsheng Ding",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  pages =        "1005--1008",
  address =      "Shanghai, China",
  organisation = "SigEvo",
  DOI =          "doi:10.1145/1543834.1543994",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        jun # " 12-14",
  isbn13 =       "978-1-60558-326-6",
  keywords =     "genetic algorithms, genetic programming, Poster",
  abstract =     "In genetic programming with subtrees, two issues are
                 crucial: how to acquire promising subtrees efficiently
                 and how to keep these subtrees to be used repeatedly in
                 the evolutional process. In this paper, we propose a
                 hierarchical statistical model for program trees, named
                 HS-Model, to deal with both the above issues. The
                 HS-Model conducts statistic analysis of the current
                 population and generates superior subtrees
                 automatically with efficiency. The HS-Model leaves out
                 the tedious operations to keep the promising subtrees
                 for reusing and also omits updating the subtree library
                 according to certain criterion. Experimental results on
                 solving the classical artificial ant problem proved the
                 effectiveness and the efficiency of our proposed
                 method.",
  notes =        "Also known as \cite{DBLP:conf/gecco/WenLZ09} part of
                 \cite{DBLP:conf/gec/2009}",
}

Genetic Programming entries for Lingyun Wen Guiquan Liu Yinghai Zhao

Citations