Selecting the best system: a decision-theoretic approach
Proceedings of the 29th conference on Winter simulation
An integrated framework for deterministic and stochastic optimization
Proceedings of the 29th conference on Winter simulation
A review of simulation optimization techniques
Proceedings of the 30th conference on Winter simulation
Statistical screening, selection, and multiple comparison procedures in computer simulation
Proceedings of the 30th conference on Winter simulation
Computing budget allocation for simulation experiments with different system structure
Proceedings of the 30th conference on Winter simulation
Iterative ranking-and-selection for large-scale optimization
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Nested Partitions Method for Global Optimization
Operations Research
WSEAS Transactions on Computers
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Hi-index | 0.00 |
We investigate a new algorithm for simulation-based optimization where the number of alternatives is finite but very large. This algorithm draws on recent work in adaptive random search and from ranking-and-selection. We show how the ranking-and-selection approach can significantly improve performance of the random search and demonstrate the importance of the probability of correct selection.