Designed-walk replica-exchange method for simulations of complex systems
arXiv:1501.00772 · doi:10.1016/j.cpc.2015.07.007
Abstract
We propose a new implementation of the replica-exchange method (REM) in which replicas follow a pre-planned route in temperature space instead of a random walk. Our method satisfies the detailed balance condition in the proposed route. The method forces tunneling events between the highest and lowest temperatures to happen with an almost constant period. The number of tunneling counts is proportional to that of the random-walk REM multiplied by the square root of moving distance in temperature space. We applied this new implementation to two kinds of REM and compared the results with those of the conventional random-walk REM. The test system was a two-dimensional Ising model, and our new method reproduced the results of the conventional random-walk REM and improved the tunneling counts by three times or more than that of the random-walk REM.
6 pages, 3 figures, 1 table; methods are the same before, but results and some references are added, table is updated
References in corpus (9)
- Feedback-optimized parallel tempering Monte Carlo
- Optimized parallel tempering simulations of proteins
- Replica exchange and expanded ensemble simulations as Gibbs sampling: Simple improvements for enhanced mixing
- Optimizing the ensemble for equilibration in broad-histogram Monte Carlo simulations
- Markov Chain Monte Carlo Method without Detailed Balance
- A generic, hierarchical framework for massively parallel Wang-Landau sampling
- Scalable replica-exchange framework for Wang-Landau sampling
- On Dynamics and Optimal Number of Replicas in Parallel Tempering Simulations
- Monte Carlo simulation of classical spin models with chaotic billiards