Modeling grammatical evolution by automaton

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  author =       "Pei He and Colin G. Johnson and HouFeng Wang",
  title =        "Modeling grammatical evolution by automaton",
  journal =      "SCIENCE CHINA Information Sciences",
  year =         "2011",
  number =       "12",
  volume =       "54",
  pages =        "2544--2553",
  publisher =    "Science China Press, co-published with Springer",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, FSM",
  ISSN =         "1674-733X",
  DOI =          "doi:10.1007/s11432-011-4411-8",
  size =         "10 pages",
  abstract =     "Twelve years have passed since the advent of
                 grammatical evolution (GE) in 1998, but such issues as
                 vast search space, genotypic readability, and the
                 inherent relationship among grammatical concepts,
                 production rules and derivations have remained
                 untouched in almost all existing GE researches.
                 Model-based approach is an attractive method to achieve
                 different objectives of software engineering. In this
                 paper, we make the first attempt to model syntactically
                 usable information of GE using an automaton, coming up
                 with a novel solution called model-based grammatical
                 evolution (MGE) to these problems. In MGE, the search
                 space is reduced dramatically through the use of
                 concepts from building blocks, but the functionality
                 and expressiveness are still the same as that of
                 classical GE. Besides, complex evolutionary process can
                 visually be analysed in the context of transition
  affiliation =  "State Key Laboratory of Software Engineering, Wuhan
                 University, Wuhan, 430072 China",
  bibdate =      "2011-12-05",
  bibsource =    "DBLP,

Genetic Programming entries for Pei He Colin G Johnson HouFeng Wang