Model approach to grammatical evolution: deep-structured analyzing of model and representation

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  author =       "Pei He and Zelin Deng and Chongzhi Gao and 
                 Xiuni Wang and Jin Li2",
  title =        "Model approach to grammatical evolution:
                 deep-structured analyzing of model and representation",
  journal =      "Soft Computing",
  year =         "2017",
  volume =       "21",
  number =       "18",
  pages =        "5413--5423",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, finite state automaton, model",
  ISSN =         "1433-7479",
  DOI =          "doi:10.1007/s00500-016-2130-1",
  size =         "11 pages",
  abstract =     "Grammatical evolution (GE) is a combination of genetic
                 algorithm and context-free grammar, evolving programs
                 for given problems by breeding candidate programs in
                 the context of a grammar using genetic operations. As
                 far as the representation is concerned, classical GE as
                 well as most of its existing variants lacks awareness
                 of both syntax and semantics, therefore having no
                 potential for parallelism of various evaluation
                 methods. To this end, we have proposed a novel approach
                 called model-based grammatical evolution (MGE) in terms
                 of grammar model (a finite state transition system)
                 previously. It is proved, in the present paper, through
                 theoretical analysis and experiments that semantic
                 embedded syntax taking the form of regex (regular
                 expression) over an alphabet of simple cycles and paths
                 provides with potential for parallel evaluation of
                 fitness, thereby making it possible for MGE to have a
                 better performance in coping with more complex problems
                 than most existing GEs.",

Genetic Programming entries for Pei He Zelin Deng Chongzhi Gao Xiuni Wang Jin Li2