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arXiv · hep-lat/9205018

Simulated Tempering: A New Monte Carlo Scheme

Enzo Marinari·Giorgio Parisi
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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.

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Enzo Marinari, Giorgio Parisi. 1992-05-22. Simulated Tempering: A New Monte Carlo Scheme. https://doi.org/10.1209/0295-5075%2F19%2F6%2F002

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