Genetically Improved Software

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

@InCollection{langdon:2015:hbgpa,
  author =       "William B. Langdon",
  title =        "Genetically Improved Software",
  booktitle =    "Handbook of Genetic Programming Applications",
  publisher =    "Springer",
  year =         "2015",
  editor =       "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
  chapter =      "8",
  pages =        "181--220",
  keywords =     "genetic algorithms, genetic programming, mutation,
                 genetic improvement GI, search based software
                 engineering SBSE, software optimisation, gismoe, GPGPU,
                 nVidia, GPU, Tesla K20c, GeForce gzip, bioinformatics,
                 SAT, miniSAT, SPL, evolutionary programming, software
                 engineering, Image analysis and signal processing,
                 Artificial Intelligence, Automatic Programming",
  isbn13 =       "978-3-319-20882-4",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2015_hbgpa.pdf",
  DOI =          "doi:10.1007/978-3-319-20883-1_8",
  size =         "40 pages",
  abstract =     "Genetic programming (GP) can dramatically increase
                 computer programs' performance. It can automatically
                 port or refactor legacy code written by domain experts
                 and specialist software engineers. After reviewing SBSE
                 research on evolving software we describe an open
                 source parallel StereoCamera image processing
                 application in which GI optimisation gave a seven fold
                 speedup on nVidia Tesla GPU hardware not even imagined
                 when the original state-of-the-art CUDA GPGPU C++ code
                 was written.",
  notes =        "http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=38824©ownerid=66551",
}

Genetic Programming entries for William B Langdon

Citations