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arXiv 0811.1626cond-mat.dis-nn
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基于混合遗传算法的海森堡自旋玻璃模型的基态性质

Ground-State Properties of a Heisenberg Spin Glass Model with a Hybrid Genetic Algorithm

Yuh-ichi Iyama, Fumitaka Matsubara

摘要:

我们开发了一种遗传算法(GA)在海森堡模型,结合了三元交叉和无参数遗传算法。使用该算法,我们研究了$\pm J$海森堡模型的基态刚度在三维到一个中等大小的范围。计算结果表明,在反周期边界条件法中,$θ= 0$的刚度常数与在开边界扭转法中,$θ\sim 0.62$的刚度常数是一致的。我们认为这两种方法之间的差异$θ$的根源,并建议,这两种结果表明相同的事情:基态的开放系统是稳定的,对一个弱扰动。

英文摘要:

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 $θ= 0$ in the periodic-antiperiodic boundary condition method and that of $θ\sim 0.62$ in the open-boundary-twist method. We considered the origin of the difference in $θ$ 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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