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Analyzing Grammatical Evolution and \(\pi \)Grammatical Evolution with Grammar Model

  • Pei HeEmail author
  • Zelin Deng
  • Chongzhi Gao
  • Liang Chang
  • Achun Hu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 455)

Abstract

Grammatical evolution (GE) is an important automatic programming technique developed on the basis of genetic algorithm and context-free grammar. Making changes with either its chromosome structure or decoding method, we will obtain a great many GE variants such as \(\pi \)GE, model-based GE, etc. In the present paper, we will examine the performances, on some previous experimental results, of GE and \(\pi \)GE with model techniques successfully applied in delineating relationships of production rules of context-free grammars. Research indicates modeling technology suits not only for GE constructions, but also for the analysis of GE performance.

Keywords

Genetic programming Grammatical evolution Finite state transition system Model 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant Nos.61170199, 61363030), the Natural Science Foundation of Guangdong Province, China (Grant No.2015A030313501), the Scientific Research Fund of Education Department of Hunan Province, China (Grant No.11A004), and the Open Fund of Guangxi Key Laboratory of Trusted Software (Guilin University of Electronic Technology) under Grant No. kx201208.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Pei He
    • 1
    • 2
    Email author
  • Zelin Deng
    • 2
  • Chongzhi Gao
    • 1
  • Liang Chang
    • 3
  • Achun Hu
    • 1
  1. 1.School of Computer Science and Educational SoftwareGuangzhou UniversityGuangzhouChina
  2. 2.School of Computer and Communication EngineeringChangsha University of Science and TechnologyChangshaChina
  3. 3.Guangxi Key Laboratory of Trusted SoftwareGuilin University of Electronic TechnologyGuilinChina

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