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 () for - (-) spin samples. This speed-up increases rapidly with system size, making this heuristic a useful tool in the study of materials with quenched disorder.
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