VII. Generalized Simulated Annealing Algorithms Using Tsallis Statistics: Application to ±J Spin Glass Model
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Recently, the Tsallis generalized distribution of states has been adapted to various optimization algorithms. New Monte Carlo acceptance probabilities have been worked out and tested in a number of physical systems. In the paper we have applied the generalized simulated annealings to a ± spin glass of 70 X 70 spins on a square lattice. Since the system ground-state energy was known exactly the ability of the generalized acceptance probabilities to find low-energy states has been checked out. Efficiency of the new annealing procedures has also been compared with that of the traditional method with respect to the number of annealing steps.
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- 5.D. A. Stariolo and C. Tsallis, in Annual Reviews ofComputational Physics IIed.D. Stauffer(World Scientific, Singapore1995), p.343.Google Scholar