• DocumentCode
    2695284
  • Title

    Direct search for wave operator by a Genetic Algorithm (GA): Route to few eigenvalues of a Hamiltonian

  • Author

    Sharma, Rahul ; Bhattacharyya, S.P.

  • Author_Institution
    Assoc. for the Cultivation of Sci., Kolkata
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3812
  • Lastpage
    3817
  • Abstract
    A genetic algorithm is invoked to search out the wave operator leading to the determination of a few eigenvalues and eigenvectors of a specially designed real symmetric matrix (Durand matrix) that simulates a Hamiltonian supporting bound states coupled to continuum. The performance is compared with that of a standard iterative method for different partition sizes, and parallelizability of the GA-based approach is tested. In many cases the GA-based approach smoothly converges while the standard iterative schemes diverge.
  • Keywords
    convergence of numerical methods; eigenvalues and eigenfunctions; genetic algorithms; iterative methods; matrix algebra; Durand matrix; Hamiltonian eigenvalues; eigenvectors; genetic algorithm; iterative method; wave operator; Algorithm design and analysis; Eigenvalues and eigenfunctions; Energy states; Genetic algorithms; Helium; Iterative methods; Nonlinear equations; Stochastic processes; Symmetric matrices; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424967
  • Filename
    4424967