SIMULATED TEMPERING - A NEW MONTE-CARLO SCHEME

被引：1333

作者：

MARINARI, E

PARISI, G

机构：

[1] IST NAZL FIS NUCL,SEZ ROMA TOR VERGATA,ROME,ITALY

[2] SYRACUSE UNIV,DEPT PHYS,SYRACUSE,NY 13244

来源：

EUROPHYSICS LETTERS | 1992年 / 19卷 / 06期

关键词：

D O I：

10.1209/0295-5075/19/6/002

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We propose a new global optimization method (Simulated Tempering) for simulating effectively a system with a rough free-energy landscape (i.e., many coexisting states) at finite nonzero 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 analyse the method on the Random Field Ising Model, and we find a dramatic improvement over conventional Metropolis and cluster methods. We analyse and discuss the conditions under which the method has optimal performances.

引用

页码：451 / 458

页数：8