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Science China Information Sciences

, Volume 54, Issue 12, pp 2544–2553 | Cite as

Modeling grammatical evolution by automaton

  • Pei HeEmail author
  • Colin G. Johnson
  • HouFeng Wang
Research Papers

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 analyzed in the context of transition diagrams.

Keywords

genetic programming grammatical evolution finite state automaton model 

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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.State Key Laboratory of Software EngineeringWuhan UniversityWuhanChina
  2. 2.School of ComputingUniversity of KentCanterburyEngland
  3. 3.School of Computer and Communication EngineeringChangsha University of Science and TechnologyChangshaChina
  4. 4.Institute of Computational LinguisticsPeking UniversityBeijingChina

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