Stack-Based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4448

@InProceedings{ieee94:perkis,
  author =       "Tim Perkis",
  title =        "Stack-Based Genetic Programming",
  year =         "1994",
  booktitle =    "Proceedings of the 1994 IEEE World Congress on
                 Computational Intelligence",
  publisher =    "IEEE Press",
  volume =       "1",
  pages =        "148--153",
  address =      "Orlando, Florida, USA",
  month =        "27-29 " # jun,
  keywords =     "genetic algorithms, genetic programming, optimum
                 representations, stack-based genetic programming,
                 stack-based virtual machine, learning (artificial
                 intelligence), optimisation",
  URL =          "http://citeseer.ist.psu.edu/432690.html",
  DOI =          "doi:10.1109/ICEC.1994.350025",
  size =         "6 pages",
  abstract =     "Some recent work in the field of genetic programming
                 (GP) has been concerned with finding optimum
                 representations for evolvable and efficient computer
                 programs. This paper describes a new GP system in which
                 target programs run on a stack-based virtual machine.
                 The system is shown to have certain advantages in terms
                 of efficiency and simplicity of implementation, and for
                 certain problems, its effectiveness is shown to be
                 comparable or superior to current methods.",
  notes =        "Report 93-11-A Antelope Engineering, Albany,
                 California, See also
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/stack-gp.ps.gz",
}

Genetic Programming entries for Tim Perkis

Citations