Evolving Better Software Parameters

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "William B. Langdon and Justyna Petke",
  title =        "Evolving Better Software Parameters",
  booktitle =    "SSBSE 2018 Hot off the Press Track",
  year =         "2018",
  editor =       "Thelma Elita Colanzi and Phil McMinn",
  volume =       "11036",
  series =       "LNCS",
  pages =        "363--369",
  address =      "Montpellier, France",
  month =        "8-9 " # sep,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, software engineering, SBSE, GGGP, software
                 maintenance of empirical constants, data
                 transplantation, glibc, sqrt, cbrt",
  isbn13 =       "978-3-319-99241-9",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2018_SSBSE.pdf",
  DOI =          "doi:10.1007/978-3-319-99241-9_22",
  size =         "7 pages",
  abstract =     "Genetic improvement might be widely used to adapt
                 existing numerical values within programs. Applying GI
                 to embedded parameters in computer code can create new
                 functionality. For example, CMA-ES can evolve 1024 real
                 numbers in a GNU C library square root to implement a
                 cube root routine for C.",
  notes =        "code:


Genetic Programming entries for William B Langdon Justyna Petke