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arXiv · 2203.16589

Resampling schemes in population annealing -- numerical results

Denis Gessert·Martin Weigel·Wolfhard Janke
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Abstract

Population annealing (PA) is a population-based algorithm that is designed for equilibrium simulations of thermodynamic systems with a rough free energy landscape. It is known to be more efficient in doing so than standard Markov chain Monte Carlo alone. The algorithm has a number of parameters that can be fine-tuned to improve performance. While there is some theoretical and numerical work regarding most of these parameters, there appears to be a gap in the literature concerning the role of resampling in PA. Here, we present a numerical comparison of a number of resampling schemes for PA simulations of the 2D Ising model.

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Denis Gessert, Martin Weigel, Wolfhard Janke. 2022-03-30. Resampling schemes in population annealing -- numerical results. https://doi.org/10.1088/1742-6596%2F2207%2F1%2F012012

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