Autoconstructive Evolution: Push, PushGP, and Pushpop

Created by W.Langdon from gp-bibliography.bib Revision:1.4128

@InProceedings{spector2:2001:gecco,
  title =        "Autoconstructive Evolution: Push, PushGP, and
                 Pushpop",
  author =       "Lee Spector",
  pages =        "137--146",
  year =         "2001",
  publisher =    "Morgan Kaufmann",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2001)",
  editor =       "Lee Spector and Erik D. Goodman and Annie Wu and 
                 W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and 
                 Sandip Sen and Marco Dorigo and Shahram Pezeshk and 
                 Max H. Garzon and Edmund Burke",
  address =      "San Francisco, California, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "7-11 " # jul,
  keywords =     "genetic algorithms, genetic programming,
                 self-replication, stack-based genetic programming,
                 ontogenetic programming, adaptive evolutionary
                 computation, recursion, modularity",
  ISBN =         "1-55860-774-9",
  URL =          "http://hampshire.edu/lspector/pubs/ace.pdf",
  URL =          "http://citeseer.ist.psu.edu/445431.html",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2001/d01.pdf",
  abstract =     "This paper is a preliminary report on autoconstructive
                 evolution, a framework for evolutionary computation in
                 which the machinery of reproduction and diversification
                 (and thereby the machinery of evolution) evolves within
                 the individuals of an evolving population of problem
                 solvers. Autoconstructive evolution is illustrated with
                 Pushpop, an evolving population of programs expressed
                 in the Push programming language. The Push programming
                 language can also be used in a more traditional genetic
                 programming framework and may have unique benefits when
                 so employed; the PushGP system, which uses traditional
                 genetic programming techniques to evolve Push programs,
                 is also described.",
  notes =        "GECCO-2001 A joint meeting of the tenth International
                 Conference on Genetic Algorithms (ICGA-2001) and the
                 sixth Annual Genetic Programming Conference (GP-2001)
                 Part of \cite{spector:2001:GECCO}

                 Slides at the 2001 Genetic and Evolutionary Computation
                 Conference (GECCO-2001).
                 http://hampshire.edu/lspector/ACE-GECCO.pdf",
}

Genetic Programming entries for Lee Spector

Citations