Stochastic simulation is a powerful tool for analyzing complex discrete-event dynamic systems; however, it does not exhibit sufficient efficiency because of the requirement numerous replicated simulations obtaining accurate analysis results. Ranking and selection (R&S) efficiently allocates budget using ordinal optimization to correctly select alternatives interest. Existing R&S methods focus o...