SKGP: The Way of the Combinator

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Worzel:2014:GPTP,
  author =       "William P. Worzel and Duncan MacLean",
  title =        "SKGP: The Way of the Combinator",
  booktitle =    "Genetic Programming Theory and Practice XII",
  year =         "2014",
  editor =       "Rick Riolo and William P. Worzel and Mark Kotanchek",
  series =       "Genetic and Evolutionary Computation",
  pages =        "53--71",
  address =      "Ann Arbor, USA",
  month =        "8-10 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 algorithms, Functional programming, Combinators, Strong
                 typing",
  isbn13 =       "978-3-319-16029-0",
  DOI =          "doi:10.1007/978-3-319-16030-6_4",
  abstract =     "Genetic Programming (GP) is a machine learning
                 technique that evolves programs using natural selection
                 and populations dynamics. Much of the functionality of
                 GP depends on the representation of programs in the
                 population and how to handle illegal or type incoherent
                 expressions that arise from crossover and mutation
                 within a population of programs. The SKGP is a GP
                 system that uses graphs of combinators to represent
                 functions and a strong type system to inform the
                 crossover and mutation operations during evolution.
                 This produces a powerful, flexible system that has many
                 benefits over more conventional systems. This paper
                 describes the implementation of this system, gives some
                 examples of successful applications constructed using
                 the SKGP and describes future directions that may offer
                 a more powerful GP system capable of producing more
                 complex programs.",
  notes =        "http://cscs.umich.edu/gptp-workshops/

                 Part of \cite{Riolo:2014:GPTP} published after the
                 workshop in 2015",
}

Genetic Programming entries for William P Worzel Duncan MacLean

Citations