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Grammar Bias and Initialisation in Grammar Based Genetic Programming

  • Eoin Murphy
  • Erik Hemberg
  • Miguel Nicolau
  • Michael O’Neill
  • Anthony Brabazon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7244)

Abstract

Preferential language biases which are introduced when using Tree-Adjoining Grammars in Grammatical Evolution affect the distribution of generated derivation structures, and as such, present difficulties when designing initialisation methods. Similar initial populations allow for a fairer comparison between different GP methods. This work proposes methods for dealing with these biases and examines their effect on performance over four well known benchmark problems. In addition, a comparison is performed with a previous study that did not employ similar phenotype distributions in their initial populations. It is found that the use of this form of initialisation has a positive effect on performance.

Keywords

Grammatical evolution Grammar bias Initialization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Eoin Murphy
    • 1
  • Erik Hemberg
    • 1
  • Miguel Nicolau
    • 1
  • Michael O’Neill
    • 1
  • Anthony Brabazon
    • 1
  1. 1.Natural Computing Research and Applications GroupUniversity College DublinDublinIreland

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