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
Link To Document :
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