Semantic Geometric Initialization

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@InProceedings{Pawlak2:2016:EuroGP,
  author =       "Tomasz P. Pawlak and Krzysztof Krawiec",
  title =        "Semantic Geometric Initialization",
  booktitle =    "EuroGP 2016: Proceedings of the 19th European
                 Conference on Genetic Programming",
  year =         "2016",
  month =        "30 " # mar # "--1 " # apr,
  editor =       "Malcolm I. Heywood and James McDermott and 
                 Mauro Castelli and Ernesto Costa and Kevin Sim",
  series =       "LNCS",
  volume =       "9594",
  publisher =    "Springer Verlag",
  address =      "Porto, Portugal",
  pages =        "261--277",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-30668-1",
  DOI =          "doi:10.1007/978-3-319-30668-1_17",
  abstract =     "A common approach in Geometric Semantic Genetic
                 Programming (GSGP) is to seed initial populations using
                 conventional, semantic-unaware methods like Ramped
                 Half-and-Half. We formally demonstrate that this may
                 limit GSGP's ability to find a program with the sought
                 semantics. To overcome this issue, we determine the
                 desired properties of geometric-aware semantic
                 initialization and implement them in Semantic Geometric
                 Initialization (\textsc{Sgi}) algorithm, which we
                 instantiate for symbolic regression and Boolean
                 function synthesis problems. Properties of \textsc{Sgi}
                 and its impact on GSGP search are verified
                 experimentally on nine symbolic regression and nine
                 Boolean function synthesis benchmarks. When assessed
                 experimentally, \textsc{Sgi} leads to superior
                 performance of GSGP search: better best-of-run fitness
                 and higher probability of finding the optimal
                 program.",
  notes =        "Part of \cite{Heywood:2016:GP} EuroGP'2016 held in
                 conjunction with EvoCOP2016, EvoMusArt2016 and
                 EvoApplications2016",
}

Genetic Programming entries for Tomasz Pawlak Krzysztof Krawiec

Citations