Simulated Annealing with Tsallis Weights for ±J Spin Glass

• Authors: J. Kłos , S. Kobe
• Languages of publication: EN

Abstracts

EN

Recently, on the basis of the Tsallis distribution of states the generalized Monte Carlo acceptance probabilities have been proposed and applied to various optimization problems. In the paper we used the generalized simulated annealing algorithms for the ±J spin glass model. Efficiency of the new annealing procedures was compared with that of the conventional methods. This was done with respect to the number of annealing steps and to the lowest energy found. The algorithms were applied to a system of 70×70 spins on a square lattice with periodical boundary conditions whose ground state configurations are known exactly. This enables us to evaluate the efficiency in a quantitative way.

Keywords

EN

05.50.+q; 64.60.Cn; 75.10.Hk

Discipline

• 75.10.Hk: Classical spin models
• 05.50.+q: Lattice theory and statistics (Ising, Potts, etc.)(see also 64.60.Cn Order-disorder transformations, and 75.10.Hk Classical spin models)
• 64.60.Cn: Order-disorder transformations(see also 81.30.Hd Constant-composition solid-solid phase transformations: polymorphic, massive, and order-disorder in materials science; for effects of disorder on superconducting transition temperature, see 74.62.En)

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2000
• Volume: 97
• Issue: 5
• Pages: 943-946

Dates

published

2000-05

Contributors

author

J. Kłos

• Institut für Theoretische Physik, Technische Universität Dresden, 01062 Dresden, Germany
• Instytut Fizyki, Uniwersytet im. A. Mickiewicza, Coll. Physicum, Umultowska 85, 61-614 Poznań, Poland

author

S. Kobe

• Instytut Fizyki, Uniwersytet im. A. Mickiewicza, Coll. Physicum, Umultowska 85, 61-614 Poznań, Poland

Identifiers

DOI

10.12693/APhysPolA.97.943