Finding Feasible Systems for Subjective Constraints Using Recycled Observations

References

• Andradóttir S, Kim SH (2010) Fully sequential procedures for comparing constrained systems via simulation. Naval Res. Logist. 57(5):403–421.Crossref, Google Scholar
• Batur D, Kim SH (2010) Finding feasible systems in the presence of constraints on multiple performance measures. ACM Trans. Model. Comput. Simulation 20(3):1–26.Crossref, Google Scholar
• Feng M, Staum J (2017) Green simulation: Reusing the output of repeated experiments. ACM Trans. Model. Comput. Simulation 27(4):1–28.Crossref, Google Scholar
• Gao S, Chen W (2017) A partition-based random search for stochastic constrained optimization via simulation. IEEE Trans. Automatic Control 62(2):740–752.Crossref, Google Scholar
• Healey CM, Andradóttir S, Kim SH (2013) Efficient comparison of constrained systems using dormancy. Eur. J. Oper. Res. 224(2):340–352.Crossref, Google Scholar
• Healey C, Andradóttir S, Kim SH (2014) Selection procedures for simulations with multiple constraints under independent and correlated sampling. ACM Trans. Model. Comput. Simulation 24(3):1–25.Crossref, Google Scholar
• Hong LJ, Nelson BL, Xu J (2015) Discrete optimization via simulation. Fu M, ed. Handbook of Simulation Optimization. International Series in Operations Research & Management Science, vol. 216 (Springer, New York), 9–44.Crossref, Google Scholar
• Hunter SR, Pasupathy R (2013) Optimal sampling laws for stochastically constrained simulation optimization on finite sets. INFORMS J. Comput. 25(3):527–542.Link, Google Scholar
• Kim SH, Nelson BL (2001) A fully sequential procedure for indifference-zone selection in simulation. ACM Trans. Model. Comput. Simulation 11(3):251–273.Crossref, Google Scholar
• Kim SH, Nelson B (2006) Selecting the best system: Theory and methods. Henderson SG, Nelson BL, eds. The Handbook of OR & MS: Simulation (North Holland Publishing Co., Amsterdam), 501–534.Google Scholar
• Koenig LW, Law AM (1985) A procedure for selecting a subset of size m containing the l best of k independent normal populations, with applications to simulation. Comm. Statist. Simulation Comput. 14(3):719–734.Crossref, Google Scholar
• Law A, Kelton D (2000) Simulation Modeling and Analysis (Academic Press, Boston).Google Scholar
• Lee ML, Park C, Park DU (2018) Self-adjusting the tolerance level in a fully sequential feasibility check procedure. Eur. J. Oper. Res. 271(2):733–745.Crossref, Google Scholar
• Lee LH, Pujowidianto NA, Li LW, Chen CH, Yap CM (2012) Approximate simulation budget allocation for selecting the best design in the presence of stochastic constraints. IEEE Trans. Automatic Control. 57(11):2940–2945.Crossref, Google Scholar
• Pasupathy R, Hunter SR, Pujowidianto NA, Lee LH, Chen CH(2014) Stochastically constrained ranking and selection via score. ACM Trans. Model. Comput. Simulation 25(1):1–26.Crossref, Google Scholar
• Xie J, Frazier PI (2013) Sequential bayes-optimal policies for multiple comparisons with a known standard. Oper. Res. 61(5):1174–1189.Link, Google Scholar