Jamming Model for the Extremal Optimization Heuristic
统计力学
2018-07-06 v2 神经与进化计算
计算物理
摘要
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.
引用
@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}
}
备注
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/