A Parallel Evolutionary Algorithm for High-Level Program Induction

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Paul J. Walsh",
  title =        "A Parallel Evolutionary Algorithm for High-Level
                 Program Induction",
  booktitle =    "Proceedings of the Congress on Evolutionary
  year =         "1999",
  editor =       "Peter J. Angeline and Zbyszek Michalewicz and 
                 Marc Schoenauer and Xin Yao and Ali Zalzala",
  volume =       "2",
  pages =        "1027--1034",
  address =      "Mayflower Hotel, Washington D.C., USA",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "6-9 " # jul,
  organisation = "Congress on Evolutionary Computation, IEEE / Neural
                 Networks Council, Evolutionary Programming Society,
                 Galesia, IEE",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, parallel and
                 distributed processing, FGP system, FP, distributed
                 computing environment, functional genetic programming,
                 high level solutions, high-level program induction,
                 higher order functions, iteration, near linear
                 speed-up, parallel evolutionary algorithm, parallel
                 implementation, programming problems, pure functional
                 language, recursion, functional languages, functional
                 programming, parallel algorithms, parallel
  ISBN =         "0-7803-5536-9 (softbound)",
  ISBN =         "0-7803-5537-7 (Microfiche)",
  DOI =          "doi:10.1109/CEC.1999.782536",
  abstract =     "The paper discusses issues relating to the
                 implementation of a new technique for the induction of
                 high level programs, Functional genetic programming
                 (FGP). The FGP system is based on the pure functional
                 language FP, which uses higher order functions and
                 avoids the use of explicitly named objects, While the
                 FGP system can produce high level solutions to a number
                 of common programming problems involving iteration and
                 recursion, this technique is computationally expensive.
                 A parallel implementation that addresses this
                 limitation is presented and it is shown that near
                 linear speed-up can be achieved across a distributed
                 computing environment",
  notes =        "CEC-99 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 Library of Congress Number = 99-61143",

Genetic Programming entries for Paul J Walsh