Genetic Algorithm for SU(N) gauge theory on a lattice

Details Genetic Algorithm for SU(N) gauge theory on a lattice Genetic Algorithm for SU(N) gauge theory on a lattice

1998-08-02

arxiv.org/abs/hep-lat/9808001v2

Physics

High Energy Physics

High Energy Physics - Lattice

rev.tex form, 9 pages, 12 figures

Scientific paper

An Algorithm is proposed for the simulation of pure SU(N) lattice gauge theories based on Genetic Algorithms(GAs). Main difference between GAs and Metropolis methods(MPs) is that GAs treat a population of points at once, while MPs treat only one point in the searching space. This provides GAs with information about the assortment as well as the fitness of the evolution function and producting a better solution. We apply GAs to SU(2) pure gauge theory on a 2 dimensional lattice and show the results are consistent with those given by MP and Heatbath methods(HBs). Thermalization speed of GAs is especially faster than the simple MPs.

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