• DocumentCode
    2036240
  • Title

    A technique for generating approximate solutions and it´s application to Coulomb interactions

  • Author

    MacNeil, P.E.

  • Author_Institution
    Sch. of Eng., Mercer Univ., Macon, GA, USA
  • fYear
    2012
  • fDate
    15-18 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a technique for applying evolutionary computation techniques, particularly genetic algorithms, to the generation of approximate solutions of equations and sets of equations. The technique is applied to the solution of an eigenvalue differential equation of physical significance, the Schrodinger equation, which is addressed for two- and three- center Coulomb potentials. The technique is found to be effective for the two-center case. Consideration of the three-center case reveals a constraint which is different from the constraints used by other techniques to address the same problem. The issue of parasitic solutions is addressed, and a reformulation of the technique is found to avoid this issue and produce reasonable results.
  • Keywords
    Schrodinger equation; differential equations; eigenvalues and eigenfunctions; electric potential; genetic algorithms; potential energy functions; Coulomb interaction; Schrodinger equation; approximate solution; eigenvalue differential equation; evolutionary computation; genetic algorithm; parasitic solution; three-center Coulomb potentials; two-center Coulomb potentials; Biological cells; Chemistry; Equations; Genetic algorithms; Protons; Schrodinger equation; Wave functions; Schrodinger; approximate solution; equation; evolutionary computation; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2012 Proceedings of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1091-0050
  • Print_ISBN
    978-1-4673-1374-2
  • Type

    conf

  • DOI
    10.1109/SECon.2012.6196941
  • Filename
    6196941