• DocumentCode
    2702482
  • Title

    A hybrid genetic algorithm for finding stable conformations of small molecules

  • Author

    Barbosa, H. J C ; Raupp, F.M.P. ; Lavor, C. ; Lima, H. ; Maculan, N.

  • Author_Institution
    Lab. Nacional de Computacao Cientifica, Brazil
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    In this work we use a hybrid genetic algorithm for finding the global minimum energy conformation of small molecules based on the Lennard-Jones potential function. Finding the global minimum of this function is very difficult because it has a large number of local minima, which may grow exponentially with molecule size. Experimental evidences show that the global minimum potential energy of a given molecule usually corresponds to its most stable conformation, which dictates the majority of its properties
  • Keywords
    Lennard-Jones potential; genetic algorithms; minimisation; molecular configurations; neural nets; physics computing; stability; GA; Lennard-Jones potential function; global minimum energy conformation; global minimum potential energy; hybrid genetic algorithm; local minima; small molecules; stable conformations; Bonding; Chemistry; Genetic algorithms; Niobium; Potential energy; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. Proceedings. Sixth Brazilian Symposium on
  • Conference_Location
    Rio de Janeiro, RJ
  • ISSN
    1522-4899
  • Print_ISBN
    0-7695-0856-1
  • Type

    conf

  • DOI
    10.1109/SBRN.2000.889719
  • Filename
    889719