• DocumentCode
    2329714
  • Title

    EASEA parallelization of tree-based Genetic Programming

  • Author

    Maitre, Ogier ; Querry, Stéphane ; Lachiche, Nicolas ; Collet, Pierre

  • Author_Institution
    Image Sci., Comput. Sci. & Remote Sensing Lab., Univ. of Strasbourg, Illkirch, France
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper introduces the implementation of Koza-style tree-based Genetic Programming on General Purpose Graphic Processing Units (GPGPU) using the EASEA language, and shows how a GP algorithm can be easily implemented using EASEA and CUDA. Performance is first discussed on a classical toy problem taken from one of Koza´s books and then on a real world problem inspired from aeronautics, that extends the results to difficult problems with large data sets.
  • Keywords
    coprocessors; genetic algorithms; trees (mathematics); CUDA; EASEA parallelization; GPGPU; Koza-style tree; general purpose graphic processing unit; tree-based genetic programming; Bioinformatics; Genomics; Graphics processing unit; Hardware; Instruction sets; Libraries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586258
  • Filename
    5586258
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2329714