Proceedings of the 33nd conference on Winter simulation
A combined procedure for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Statistical analysis of simulation output: output data analysis for simulations
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Selecting the best system: selecting the best system: theory and methods
Proceedings of the 35th conference on Winter simulation: driving innovation
Efficient simulation procedures: comparison with a standard via fully sequential procedures
Proceedings of the 35th conference on Winter simulation: driving innovation
Comparison with a standard via fully sequential procedures
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Control variates for screening, selection, and estimation of the best
ACM Transactions on Modeling and Computer Simulation (TOMACS)
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation optimization: a review, new developments, and applications
WSC '05 Proceedings of the 37th conference on Winter simulation
New developments in ranking and selection: an empirical comparison of the three main approaches
WSC '05 Proceedings of the 37th conference on Winter simulation
Finding the best in the presence of a stochastic constraint
WSC '05 Proceedings of the 37th conference on Winter simulation
Analysis methodology: are we done?
WSC '05 Proceedings of the 37th conference on Winter simulation
Performance of variance updating ranking and selection procedures
WSC '05 Proceedings of the 37th conference on Winter simulation
Enhancing evolutionary algorithms with statistical selection procedures for simulation optimization
WSC '05 Proceedings of the 37th conference on Winter simulation
OPEDo: a tool framework for modeling and optimization of stochastic models
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Combined ranking and selection with control variates
Proceedings of the 38th conference on Winter simulation
Discrete Optimization via Simulation Using COMPASS
Operations Research
A framework for locally convergent random-search algorithms for discrete optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Recent advances in ranking and selection
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Determining efficient simulation run lengths for real time decision making
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Finding probably best systems quickly via simulations
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Industrial strength COMPASS: A comprehensive algorithm and software for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation optimization using the cross-entropy method with optimal computing budget allocation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Stochastic Kriging for Simulation Metamodeling
Operations Research
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Nested Simulation in Portfolio Risk Measurement
Management Science
A brief introduction to optimization via simulation
Winter Simulation Conference
Winter Simulation Conference
Simulation optimization with hybrid golden region search
Winter Simulation Conference
Selecting the best simulated system with weighted control-variate estimators
Mathematics and Computers in Simulation
Integrating techniques from statistical ranking into evolutionary algorithms
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
A Framework for Selecting a Selection Procedure
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Sensitivity analysis of an ICU simulation model
Proceedings of the Winter Simulation Conference
Performance measures for ranking and selection procedures
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness
Proceedings of the Winter Simulation Conference
An efficient simulation procedure for point estimation of expected shortfall
Proceedings of the Winter Simulation Conference
Rapid Screening Procedures for Zero-One Optimization via Simulation
INFORMS Journal on Computing
Hi-index | 0.00 |
In this paper we address the problem of finding the simulated system with the best (maximum or minimum) expected performance when the number of systems is large and initial samples from each system have already been taken. This problem may be encountered when a heuristic search procedure--perhaps one originally designed for use in a deterministic environment--has been applied in a simulation-optimization context. Because of stochastic variation, the system with the best sample mean at the end of the search procedure may not coincide with the true best system encountered during the search. This paper develops statistical procedures that return the best system encountered by the search (or one near the best) with a prespecified probability. We approach this problem using combinations of statistical subset selection and indifference-zone ranking procedures. The subset-selection procedures, which use only the data already collected, screen out the obviously inferior systems, while the indifference-zone procedures, which require additional simulation effort, distinguish the best from the less obviously inferior systems.