New Operators for Non-functional Genetic Improvement

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Justyna Petke",
  title =        "New Operators for Non-functional Genetic Improvement",
  booktitle =    "GI-2017",
  year =         "2017",
  editor =       "Justyna Petke and David R. White and W. B. Langdon and 
                 Westley Weimer",
  pages =        "1541--1542",
  address =      "Berlin",
  month =        "15-19 " # jul,
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, GI, search operators, mutation operators,
                 software mutational robustness",
  isbn13 =       "978-1-4503-4939-0",
  URL =          "",
  DOI =          "doi:10.1145/3067695.3082520",
  size =         "2 pages",
  abstract =     "Genetic improvement uses automated search to find
                 improved versions of existing software. Typically
                 software is modified using either delete, copy or
                 replace operations at the level of source code, its
                 abstract syntax tree, binary or assembly
                 representation. Impressive improvements have been
                 achieved through this approach, yet research in the use
                 of other search operators is largely unexplored. We
                 propose several ways for devising new search operators
                 for improvement of non-functional properties using a
                 genetic improvement approach.",
  notes =        "new mutation operators derived from mining software
                 updates eg pull requests in from github, angelic
                 execution, n-version programming, equivalent

Genetic Programming entries for Justyna Petke