• DocumentCode
    2328752
  • Title

    Investigating mapping order in πGE

  • Author

    Fagan, David ; Nicolau, Miguel ; O´Neill, Michael ; Galván-López, Edgar ; Brabazon, Anthony ; McGarraghy, Sean

  • Author_Institution
    Comput. Sci. & Inf. Dept., Univ. Coll. Dublin, UCD, Dublin, Ireland
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    We present an investigation into the genotype-phenotype map in Position Independent Grammatical Evolution (πGE). Previous studies have shown πGE to exhibit a performance increase over standard Grammatical Evolution (GE). The only difference between the two approaches is in how the genotype-phenotype mapping process is performed. GE uses a leftmost non terminal expansion, while πGE evolves the order of mapping as well as the content. In this study, we use the idea of focused search to examine which aspect of the πGE mapping process provides the lift in performance over standard GE by applying our approaches to three benchmark problems taken from specialised literature. We examined the traditional πGE approach and compared it to two setups which examined the extremes of mapping order search and content search, and against setups with varying ratios of content and order search. In all of these tests a purely content focused πGE was shown to exhibit a performance gain over the other setups.
  • Keywords
    genetic algorithms; search problems; focused search; genotype-phenotype map; leftmost non terminal expansion; position independent grammatical evolution; Benchmark testing; Biological cells; Focusing; Grammar; Iron; Performance gain; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586204
  • Filename
    5586204