Jamming Model for the Extremal Optimization Heuristic
Statistical Mechanics
2018-07-06 v2 Neural and Evolutionary Computing
Computational Physics
Abstract
Extremal Optimization, a recently introduced meta-heuristic for hard optimization problems, is analyzed on a simple model of jamming. The model is motivated first by the problem of finding lowest energy configurations for a disordered spin system on a fixed-valence graph. The numerical results for the spin system exhibit the same phenomena found in all earlier studies of extremal optimization, and our analytical results for the model reproduce many of these features.
Cite
@article{arxiv.cond-mat/0110165,
title = {Jamming Model for the Extremal Optimization Heuristic},
author = {S. Boettcher and M. Grigni},
journal= {arXiv preprint arXiv:cond-mat/0110165},
year = {2018}
}
Comments
9 pages, RevTex4, 7 ps-figures included, as to appear in J. Phys. A, related papers available at http://www.physics.emory.edu/faculty/boettcher/