Evolving Graphs by Graph Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Timothy Atkinson and Detlef Plump and Susan Stepney",
  title =        "Evolving Graphs by Graph Programming",
  booktitle =    "EuroGP 2018: Proceedings of the 21st European
                 Conference on Genetic Programming",
  year =         "2018",
  month =        "4-6 " # apr,
  editor =       "Mauro Castelli and Lukas Sekanina and 
                 Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez",
  series =       "LNCS",
  volume =       "10781",
  publisher =    "Springer Verlag",
  address =      "Parma, Italy",
  pages =        "35--51",
  organisation = "EvoStar, Species",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  isbn13 =       "978-3-319-77552-4",
  URL =          "http://eprints.whiterose.ac.uk/126500/1/AtkinsonPlumpStepney.EuroGP.18.pdf",
  DOI =          "doi:10.1007/978-3-319-77553-1_3",
  abstract =     "Rule-based graph programming is a deep and rich topic.
                 We present an approach to exploiting the power of graph
                 programming as a representation and as an execution
                 medium in an evolutionary algorithm (EGGP). We
                 demonstrate this power in comparison with Cartesian
                 Genetic Programming (CGP), showing that it is
                 significantly more efficient in terms of fitness
                 evaluations on some classic benchmark problems. We
                 hypothesise that this is due to its ability to exploit
                 the full graph structure, leading to a richer mutation
                 set, and outline future work to test this hypothesis,
                 and to exploit further the power of graph programming
                 within an EA.",
  notes =        "Part of \cite{Castelli:2018:GP} EuroGP'2018 held in
                 conjunction with EvoCOP2018, EvoMusArt2018 and

Genetic Programming entries for Timothy Atkinson Detlef Plump Susan Stepney