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
Link To Document :
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