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We empirically evaluate the finite-time performance of severalsimulation-optimization algorithms on a testbed of problems with the goal ofmotivating further development of algorithms with strong finite-timeperformance. We investigate if the observed performance of the algorithms canbe explained by properties of the problems, e.g., the number of decisionvariables, the topology of the objective function, or the magnitude of thesimulation error.

Comparing the Finite-Time Performance of Simulation-Optimization Algorithms