English

Improved extremal optimization for the Ising spin glass

Disordered Systems and Neural Networks 2007-05-23 v2

Abstract

A version of the extremal optimization (EO) algorithm introduced by Boettcher and Percus is tested on 2D and 3D spin glasses with Gaussian disorder. EO preferentially flips spins that are locally ``unfit''; the variant introduced here reduces the probability to flip previously selected spins. Relative to EO, this adaptive algorithm finds exact ground states with a speed-up of order 10410^{4} (10210^{2}) for 16216^{2}- (838^{3}-) spin samples. This speed-up increases rapidly with system size, making this heuristic a useful tool in the study of materials with quenched disorder.

Keywords

Cite

@article{arxiv.cond-mat/0402295,
  title  = {Improved extremal optimization for the Ising spin glass},
  author = {A. Alan Middleton},
  journal= {arXiv preprint arXiv:cond-mat/0402295},
  year   = {2007}
}

Comments

4 pages, 3 color figs; minor text changes and new data point in v. 2