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The authors develop a two-timescale simultaneous perturbation stochastic approximation algorithm for simulation-based parameter optimization over discrete sets. This algorithm is applicable in cases where the cost to be optimized is in itself the long-run average of certain cost functions whose noisy estimates are obtained via simulation. The authors(More)
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