• DocumentCode
    2752529
  • Title

    Solving the Molecular Sequence Alignment Problem with Generalized Differential Evolution 3 (GDE3)

  • Author

    Kukkonen, Saku ; Jangam, Sujit R. ; Chakraborti, Nirupam

  • Author_Institution
    Dept. of Inf. Technol., Lappeenranta Univ. of Technol.
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    302
  • Lastpage
    309
  • Abstract
    Molecular sequence alignment is one of the most essential tools of the molecular biology. It permits to track changes and similarities between molecular sequences. In this paper the molecular sequence alignment problem is formulated suitable for an evolutionary algorithm (EA), and two problem instances are solved using generalized differential evolution 3 (GDE3), which is a general purpose EA. Regardless of relatively large number of decision variables, the instances were solvable and results were comparable to those by sequence alignment solvers in comparison
  • Keywords
    evolutionary computation; molecular biophysics; sequences; evolutionary algorithm; generalized differential evolution 3; molecular biology; molecular sequence alignment problem; molecular sequences; Ant colony optimization; Biology; Computational intelligence; Constraint optimization; Decision making; Evolution (biology); Evolutionary computation; Genetics; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0702-8
  • Type

    conf

  • DOI
    10.1109/MCDM.2007.369105
  • Filename
    4223020