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Effect of correlated estimation errors in ordinal optimization

Ordinal Optimization (Ho, Sreenivas, and Vakili 1992) used in discrete event simulation promises to be an efficient tool for narrowing the search for optimum, The theory so far, however, is based on independent estimation error for parametrically different experiments. This paper experimentally verifies the intuitive belief that correlations in estimation error can only help but not hinder the search process. Some analytical results are also presented to support the results. The results support the notion of synergy between ordinal optimization and parallel simulation on a SIMD machine.