Model approach to grammatical evolution: theory and case study

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  author =       "Pei He and Zelin Deng and Houfeng Wang and 
                 Zhusong Liu",
  title =        "Model approach to grammatical evolution: theory and
                 case study",
  journal =      "Soft Computing",
  year =         "2016",
  volume =       "20",
  number =       "9",
  pages =        "3537--3548",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 evolution, Finite state automaton, Model",
  ISSN =         "1432-7643",
  publisher =    "Springer",
  DOI =          "doi:10.1007/s00500-015-1710-9",
  abstract =     "Many deficiencies with grammatical evolution (GE) such
                 as inconvenience in solution derivations, modularity
                 analysis, and semantic computing can partly be
                 explained from the angle of genotypic representations.
                 In this paper, we deepen some of our previous work in
                 visualising concept relationships, individual
                 structures and total evolutionary process, contributing
                 new ideas, perspectives, and methods in these aspects;
                 reveal the principle hidden in early work so that to
                 develop a practical methodology; provide formal proofs
                 for issues of concern which will be helpful for
                 understanding of mathematical essence of issues,
                 establishing of an unified formal framework as well as
                 practical implementation; exploit genotypic modularity
                 like modular discovery systematically which for the
                 lack of supporting mechanism, if not impossible, is
                 done poorly in many existing systems, and finally
                 demonstrate the possible gains through semantic
                 analysis and modular reuse. As shown in this work, the
                 search space and the number of nodes in the parser tree
                 are reduced using concepts from building blocks, and
                 concepts such as the codon-to-grammar mapping and the
                 integer modulo arithmetic used in most existing GE can
                 be abnegated",

Genetic Programming entries for Pei He Zelin Deng HouFeng Wang Zhusong Liu