API-Constrained Genetic Improvement

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

  author =       "William B. Langdon and David R. White and 
                 Mark Harman and Yue Jia and Justyna Petke",
  title =        "{API}-Constrained Genetic Improvement",
  booktitle =    "Proceedings of the 8th International Symposium on
                 Search Based Software Engineering, SSBSE 2016",
  year =         "2016",
  editor =       "Federica Sarro and Kalyanmoy Deb",
  volume =       "9962",
  series =       "LNCS",
  pages =        "224--230",
  address =      "Raleigh, North Carolina, USA",
  month =        "8-10 " # oct,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, SBSE, image segmentation, $50K OpenCV
                 Challenge, library C++ source code, bikes computer
                 vision benchmark dataset",
  isbn13 =       "978-3-319-47106-8",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2016_SSBSE.pdf",
  DOI =          "doi:10.1007/978-3-319-47106-8_16",
  size =         "6 pages",
  abstract =     "ACGI respects the Application Programming Interface
                 whilst using genetic programming to optimise the
                 implementation of the API. It reduces the scope for
                 improvement but it may smooth the path to GI acceptance
                 because the programmer's code remains unaffected; only
                 library code is modified. We applied ACGI to C++
                 software for the state-of-the-art OpenCV SEEDS
                 superPixels image segmentation algorithm, obtaining a
                 speed up of up to 13.2percent (sd 1.3percent) to the
                 50K Challenge winner announced at CVPR 2015.",
  notes =        "Simple blue example of grammar based Genetic

                 SSBSE-2016 challenge track. Example images


Genetic Programming entries for William B Langdon David Robert White Mark Harman Yue Jia Justyna Petke