Exploiting Tournament Selection for Efficient Parallel Genetic Programming

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

@InProceedings{chitty:2018:ukci,
  author =       "Darren Michael Chitty",
  title =        "Exploiting Tournament Selection for Efficient Parallel
                 Genetic Programming",
  booktitle =    "18th Annual UK Workshop on Computational Intelligence,
                 UKCI 2018",
  year =         "2018",
  editor =       "Ahmad Lotfi and Hamid Bouchachia and 
                 Alexander Gegov and Caroline Langensiepen and Martin McGinnity",
  volume =       "840",
  series =       "AISC",
  pages =        "41--53",
  address =      "Nottingham Trent University, UK",
  month =        "5-7 " # sep # " 2018",
  keywords =     "genetic algorithms, genetic programming, HPC,
                 Computational Efficiency",
  isbn13 =       "978-3-319-97981-6",
  DOI =          "doi:10.1007/978-3-319-97982-3_4",
  abstract =     "Genetic Programming (GP) is a computationally
                 intensive technique which is naturally parallel in
                 nature. Consequently, many attempts have been made to
                 improve its run-time from exploiting highly parallel
                 hardware such as GPUs. However, a second methodology of
                 improving the speed of GP is through efficiency
                 techniques such as subtree caching. However achieving
                 parallel performance and efficiency is a difficult
                 task. This paper will demonstrate an efficiency saving
                 for GP compatible with the harnessing of parallel CPU
                 hardware by exploiting tournament selection.
                 Significant efficiency savings are demonstrated whilst
                 retaining the capability of a high performance parallel
                 implementation of GP. Indeed, a 74percent improvement
                 in the speed of GP is achieved with a peak rate of 96
                 billion GPop/s for classification type problems.",
  notes =        "http://ukci2018.uk/accepted-papers/",
}

Genetic Programming entries for Darren M Chitty

Citations