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 Heisenberg model in three dimensions up to a moderate size range. Results showed the stiffness constant of in the periodic-antiperiodic boundary condition method and that of in the open-boundary-twist method. We considered the origin of the difference in 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