Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2008-11-11
Physics
Condensed Matter
Disordered Systems and Neural Networks
11 pages, 5 figures
Scientific paper
10.1143/JPSJ.78.014703
We developed a genetic algorithm (GA) in the Heisenberg model that combines a triadic crossover and a parameter-free genetic algorithm. Using the algorithm, we examined the ground-state stiffness of the $\pm J$ Heisenberg model in three dimensions up to a moderate size range. Results showed the stiffness constant of $\theta = 0$ in the periodic-antiperiodic boundary condition method and that of $\theta \sim 0.62$ in the open-boundary-twist method. We considered the origin of the difference in $\theta$ between the two methods and suggested that both results show the same thing: the ground state of the open system is stable against a weak perturbation.
Iyama Yuh-ichi
Matsubara Fumitaka
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