Parallel Case Evaluation for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Patrick Tufts",
  title =        "Parallel Case Evaluation for Genetic Programming",
  booktitle =    "1993 Lectures in Complex Systems",
  publisher =    "Addison-Wesley",
  year =         "1995",
  editor =       "Lynn Nadel and Daniel L. Stein",
  volume =       "VI",
  series =       "Santa Fe Institute Studies in the Science of
  pages =        "591--596",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  isbn13 =       "9780201483680",
  notes =        "

                 From GP-list Wed, 21 Jun 95 18:00:35 EDT

                 deals primarily with data-parallel GP, but mentions
                 some work I did on time-series prediction. I applied GP
                 to the credit card attrition problem -- predicting when
                 a cardholder is going to drop one card in favor of

                 The book should be on shelves by July 1995.

                 From GP-list Thu, 18 Jun 1998 20:29:58 EDT

                 I wrote what is probably the first massively parallel
                 version of GP. It is in *Lisp for the CM-5. It uses
                 SIMD parallelism in the eval step, and is probably only
                 useful for functions where you have a large number of
                 test cases that you can distribute across the
                 processors (for example: data mining and time-series


Genetic Programming entries for Patrick Tufts