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Guided Simulated Annealing Method for Optimization Problems

C. I. Chou·R. S. Han·S. P. Li·T. K. Lee
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Abstract

Incorporating the concept of order parameter of the mean-field theory into the simulated annealing method, we presented a new optimization algorithm, the guided simulated annealing method. In this method mean-field order parameters are calculated to guide the configuration search for the global minimum. Allowing fluctuations and improvement of mean-field values iteratively, this method successfully identified global minima for several difficult optimization problems. Application of this method to the HP lattice-protein model has found a new lowest energy state for an $N = 100$ sequence that was not found by other methods before. Results for spin glass models are also presented.

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C. I. Chou, R. S. Han, S. P. Li, T. K. Lee. 2003-02-07. Guided Simulated Annealing Method for Optimization Problems. https://doi.org/10.1103/physreve.67.066704

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