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Numerical methods and programming, 2007, Volume 8, Issue 1, Pages 77–87 (Mi vmp472)  
Вычислительные методы и приложения

A comparative performance analysis of genetic algorithms and the Metropolis algorithm in some problems of solid-state physics

T. V. Panchenko, Yu. Yu. Tarasevich

Astrakhan State University
Full-text PDF (311 kB)
Abstract: The application of genetic algorithms to the optimization problems of solid-state physics is considered. A genetic algorithm is described and compared with the Metropolis algorithm for the Ising model with the absolute value of atom spins equal to 1. Some basic questions arising when using the genetic algorithms in solid-state physics are discussed.
Keywords: genetic algorithms, Metropolis algorithm, Ising model, solid state physics, optimization.
Document Type: Article
UDC: 519.68:[5/6]; 538
Language: Russian
Citation: T. V. Panchenko, Yu. Yu. Tarasevich, “A comparative performance analysis of genetic algorithms and the Metropolis algorithm in some problems of solid-state physics”, Num. Meth. Prog., 8:1 (2007), 77–87
Citation in format AMSBIB
\Bibitem{PanTar07}
\by T.~V.~Panchenko, Yu.~Yu.~Tarasevich
\paper A comparative performance analysis of genetic algorithms and the Metropolis algorithm in some problems of solid-state physics
\jour Num. Meth. Prog.
\yr 2007
\vol 8
\issue 1
\pages 77--87
\mathnet{http://mi.mathnet.ru/vmp472}
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