Simulated Tempering: A New Monte Carlo Scheme
High Energy Physics - Lattice
2010-12-17 v1 Condensed Matter
High Energy Physics - Phenomenology
High Energy Physics - Theory
Abstract
We propose a new global optimization method ({\em Simulated Tempering}) for simulating effectively a system with a rough free energy landscape (i.e. many coexisting states) at finite non-zero temperature. This method is related to simulated annealing, but here the temperature becomes a dynamic variable, and the system is always kept at equilibrium. We analyze the method on the Random Field Ising Model, and we find a dramatic improvement over conventional Metropolis and cluster methods. We analyze and discuss the conditions under which the method has optimal performances.
Cite
@article{arxiv.hep-lat/9205018,
title = {Simulated Tempering: A New Monte Carlo Scheme},
author = {Enzo Marinari and Giorgio Parisi},
journal= {arXiv preprint arXiv:hep-lat/9205018},
year = {2010}
}
Comments
12 pages, very simple LaTeX file, figures are not included, sorry