Likelihood ratio gradient estimation for stochastic systems
Communications of the ACM - Special issue on simulation
Stochastic discrete optimization
SIAM Journal on Control and Optimization
A method for discrete stochastic optimization
Management Science
Accelerating the convergence of random search methods for discrete stochastic optimization
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A fully sequential procedure for indifference-zone selection in simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Stochastic Comparison Algorithm for Discrete Optimization with Estimation
SIAM Journal on Optimization
Simulation Budget Allocation for Further Enhancing theEfficiency of Ordinal Optimization
Discrete Event Dynamic Systems
New Two-Stage and Sequential Procedures for Selecting the Best Simulated System
Operations Research
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
A combined procedure for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Using Ranking and Selection to "Clean Up" after Simulation Optimization
Operations Research
Comparison with a standard via fully sequential procedures
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation optimization with countably infinite feasible regions: Efficiency and convergence
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
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
Selecting a Selection Procedure
Management Science
A Model Reference Adaptive Search Method for Global Optimization
Operations Research
Estimating Quantile Sensitivities
Operations Research
Industrial strength COMPASS: A comprehensive algorithm and software for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Finding feasible systems in the presence of constraints on multiple performance measures
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The mathematical model of the order realizing system
ASM'12 Proceedings of the 6th international conference on Applied Mathematics, Simulation, Modelling
A Simulation Optimization Approach to Long-Term Care Capacity Planning
Operations Research
Robust Simulation of Global Warming Policies Using the DICE Model
Management Science
Ranking and selection with unknown correlation structures
Proceedings of the Winter Simulation Conference
Ranking and selection meets robust optimization
Proceedings of the Winter Simulation Conference
Simulation-based optimization of paint shops
Proceedings of the Winter Simulation Conference
May the best man win: simulation optimization for match-making in e-sports
Proceedings of the Winter Simulation Conference
Robust simulatoin of environmental policies using the dice model
Proceedings of the Winter Simulation Conference
Rapid Screening Procedures for Zero-One Optimization via Simulation
INFORMS Journal on Computing
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Optimization via simulation (OvS) is an exciting and fast developing area for both research and practice. In this article, we introduce three types of OvS problems: the R&S problems, the continuous OvS problems and the discrete OvS problems, and discuss the issues and current research development for these problems. We also give some suggestions on how to use commercial OvS software in practice.