English

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

Disordered Systems and Neural Networks 2009-11-13 v1

Abstract

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 ±J\pm J Heisenberg model in three dimensions up to a moderate size range. Results showed the stiffness constant of θ=0\theta = 0 in the periodic-antiperiodic boundary condition method and that of θ0.62\theta \sim 0.62 in the open-boundary-twist method. We considered the origin of the difference in θ\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.

Keywords

Cite

@article{arxiv.0811.1626,
  title  = {Ground-State Properties of a Heisenberg Spin Glass Model with a Hybrid Genetic Algorithm},
  author = {Yuh-ichi Iyama and Fumitaka Matsubara},
  journal= {arXiv preprint arXiv:0811.1626},
  year   = {2009}
}

Comments

11 pages, 5 figures