A quantitative analysis of the simplification genetic operator

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

  author =       "Haoxi Zhan",
  title =        "A quantitative analysis of the simplification genetic
  booktitle =    "GECCO 2014 student workshop",
  year =         "2014",
  editor =       "Tea Tusar and Boris Naujoks",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1077--1080",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "http://doi.acm.org/10.1145/2598394.2605684",
  DOI =          "doi:10.1145/2598394.2605684",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "The simplification function was introduced to PushGP
                 as a tool to reduce the sizes of evolved programs in
                 final reports. While previous work suggests that
                 simplification could reduce the sizes significantly,
                 nothing has been done to study its impacts on the
                 evolution of Push programs. In this paper, we show the
                 impact of simplification as a genetic operator. By
                 conducting test runs on the U.S. change problem, we
                 show that using simplification operator with PushGP,
                 lexicase selection and ULTRA could increase the
                 possibility to find solutions in the short term while
                 it might remove some useful genetic materials for the
                 long term.",
  notes =        "Clojush Also known as \cite{2605684} Distributed at

Genetic Programming entries for Haoxi Zhan