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Resampling Schemes in Population Annealing -- Numerical Results by Gessert, Denis; Weigel, Martin; Janke, Wolfhard is a scholarly article available to read on EtoBox.

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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.

Author

Gessert, Denis; Weigel, Martin; Janke, Wolfhard

Published

2022

Language

EN