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In this paper, we propose sequential Monte Carlo simulated annealing (SMC-SA), a population-based simulated annealing algorithm, for continuous global optimization. SMC-SA incorporates the sequential Monte Carlo method to track the converging sequence of Boltzmann distributions in simulated annealing, such that the empirical distribution will converge weakly to the uniform distribution on the set...
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