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Generalized simulated annealing algorithms using tsallis statistics: Application to conformational optimization of a tetrapeptide
Abstract
A Monte Carlo simulated annealing algorithm based on the generalized entropy of Tsallis is presented. The algorithm obeys detailed balance and reduces to a steepest descent algorithm at low temperatures. Application to the conformational optimization of a tetrapeptide demonstrates that the algorithm is more effective in locating low energy minima than standard simulated annealing based on molecular dynamics or Monte Carlo methods. © 1996 The American Physical Society.
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