Ranking and selection for steady-state simulation

We present and evaluate two ranking-and-selection procedures for use in steady-state simulation experiments when the goal is to find which among a finite number of alternative systems has the largest or smallest long-run average performance. Both procedures extend existing methods for independent and identically normally distributed observations to general stationary output processes, and both procedures are sequential.

• Type: Conference
• Year: 2000
• Where: WSC
• Authors: David Goldsman, William S. Marshall, Seong-Hee Kim, Barry L. Nelson
• Keywords: Long-run Average Performance, Modeling And Simulation, Procedures, Ranking-and-selection Procedures, WSC 2000