Simulated Annealing using Hybrid Monte Carlo

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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17 pages, 2 figures, LaTeX, to appear in Journal of Statistical Physics 89 5/6, (1997)

Scientific paper

10.1007/BF02764221

We propose a variant of the Simulated Annealing method for optimization in the multivariate analysis of differentiable functions. The method uses global actualizations via the Hybrid Monte Carlo algorithm in their generalized version for the proposal of new configurations. We show how this choice can improve upon the performance of simulated annealing methods (mainly when the number of variables is large) by allowing a more effective searching scheme and a faster annealing schedule.

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