• DocumentCode
    419106
  • Title

    An immune algorithm with hyper-macromutations for the Dill´s 2D hydrophobic-hydrophilic model

  • Author

    Cutello, Vincenzo ; Nicosia, Giuseppe ; Pavone, Mario

  • Author_Institution
    Dept. of Math. & Comput. Sci., Catania Univ., Italy
  • Volume
    1
  • fYear
    2004
  • fDate
    19-23 June 2004
  • Firstpage
    1074
  • Abstract
    This paper presents an immune algorithm (IA) based on clonal selection principle using a mutation operator, the hypermacromutation, and an aging process to tackle the protein structure prediction problem (PSP) in the 2D hydrophobic-hydrophilic model. The IA presented has only three parameters. To correctly set these parameters we compute the parameter surfaces, the 3D plots of IA success rate in function of the cloning parameter and the maximum age allowed to each B cell. The parameter surfaces show that hypermacromutation and aging operators are key features for generating diversity and searching more properly the funnel landscape of the PSP problem. Experiments show that the immune algorithm we propose is very competitive with the state-of-art algorithms for the PSP.
  • Keywords
    artificial life; evolutionary computation; molecular biophysics; proteins; 2D hydrophobic-hydrophilic model; B cell; aging operator; clonal selection principle; cloning parameter; funnel landscape; hypermacromutations; immune algorithm; mutation operator; parameter surface; protein structure prediction problem; Aging; Amino acids; Biological system modeling; Biology computing; Genetic mutations; Immune system; Intrusion detection; Organisms; Predictive models; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2004. CEC2004. Congress on
  • Print_ISBN
    0-7803-8515-2
  • Type

    conf

  • DOI
    10.1109/CEC.2004.1330981
  • Filename
    1330981