Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Woodward:2016:GECCOcomp,
  author =       "John R. Woodward and Colin G. Johnson and 
                 Alexander E. I. Brownlee",
  title =        "Connecting Automatic Parameter Tuning, Genetic
                 Programming as a Hyper-heuristic, and Genetic
                 Improvement Programming",
  booktitle =    "GECCO '16 Companion: Proceedings of the Companion
                 Publication of the 2016 Annual Conference on Genetic
                 and Evolutionary Computation",
  year =         "2016",
  isbn13 =       "978-1-4503-4323-7",
  pages =        "1357--1358",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 Improvement",
  month =        "20-24 " # jul,
  organisation = "SIGEVO",
  address =      "Denver, Colorado, USA",
  DOI =          "doi:10.1145/2908961.2931728",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Automatically designing algorithms has long been a
                 dream of computer scientists. Early attempts which
                 generate computer programs from scratch, have failed to
                 meet this goal. However, in recent years there have
                 been a number of different technologies with an
                 alternative goal of taking existing programs and
                 attempting to improving them.

                 These methods form a range of methodologies, from the
                 limited ability to change (for example only the
                 parameters) to the complete ability to change the whole
                 program. These include; automatic parameter tuning
                 (APT), using GP as a hyper-heuristic (GPHH), and GI,
                 which we will now briefly review. Part of research is
                 building links between existing work, and the aim of
                 this paper is to bring together these currently
                 separate approaches.",
}

Genetic Programming entries for John R Woodward Colin G Johnson Alexander E I Brownlee

Citations