• DocumentCode
    3571589
  • Title

    A hybrid genetic algorithm application to a genetics sequencing problem

  • Author

    Walker, J.D. ; Miller, Christopher J.

  • Author_Institution
    Dept. of Math. & Comput. Sci., Dundee Inst. of Technol.
  • fYear
    1994
  • fDate
    2/28/1994 12:00:00 AM
  • Firstpage
    42552
  • Lastpage
    712
  • Abstract
    Map building is an example of a difficult sequencing problem which requires some form of search to find a good solution from a large problem space of feasible solutions. The authors describe the development of a hybrid genetic algorithm (HGA) suitable for tackling the problem. The results of applying the HGA to a set of map data are presented
  • Keywords
    DNA; biology computing; cellular biophysics; genetic algorithms; learning (artificial intelligence); macromolecular configurations; molecular biophysics; search problems; DNA maps; artificial intelligence; genetics sequencing problem; hybrid genetic algorithm; set of map data;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Molecular Bioinformatics, IEE Colloquium on
  • Type

    conf

  • Filename
    297404
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3571589