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
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