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)
Proceedings of the 33nd conference on Winter simulation
A New Algorithm for Stochastic Discrete Resource AllocationOptimization
Discrete Event Dynamic Systems
Nested Partitions Method for Global Optimization
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)
Search and selection for large-scale stochastic optimization
Search and selection for large-scale stochastic optimization
An Optimization Framework for Product Design
Management Science
Using Ranking and Selection to "Clean Up" after Simulation Optimization
Operations Research
A combined procedure for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Proceedings of the 35th conference on Winter simulation: driving innovation
Finding probably better system configurations quickly
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Simulation optimization using balanced explorative and exploitative search
WSC '04 Proceedings of the 36th conference on Winter simulation
Combined pattern search and ranking and selection for simulation optimization
WSC '04 Proceedings of the 36th conference on Winter simulation
A distributed computing architecture for simulation and optimization
WSC '05 Proceedings of the 37th conference on Winter simulation
Two simulated annealing algorithms for noisy objective functions
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation optimization with countably infinite feasible regions: Efficiency and convergence
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Solving simulation optimization problems on grid computing systems
Parallel Computing - Optimization on grids - Optimization for grids
Discrete Optimization via Simulation Using COMPASS
Operations Research
Recent advances in ranking and selection
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Discrete stochastic optimization using linear interpolation
Proceedings of the 40th Conference on Winter Simulation
Simulation optimization with mathematical programming representation of discrete event systems
Proceedings of the 40th Conference on Winter Simulation
Balanced Explorative and Exploitative Search with Estimation for Simulation Optimization
INFORMS Journal on Computing
Finding probably best systems quickly via simulations
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A survey on metaheuristics for stochastic combinatorial optimization
Natural Computing: an international journal
Industrial strength COMPASS: A comprehensive algorithm and software for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A brief introduction to optimization via simulation
Winter Simulation Conference
Speeding up COMPASS for high-dimensional discrete optimization via simulation
Operations Research Letters
Efficient discrete optimization via simulation using stochastic kriging
Proceedings of the Winter Simulation Conference
Handling stochastic constraints in discrete optimization via simulation
Proceedings of the Winter Simulation Conference
Empirical stochastic branch-and-bound for optimization via simulation
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
An Adaptive Hyperbox Algorithm for High-Dimensional Discrete Optimization via Simulation Problems
INFORMS Journal on Computing
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Adaptive heuristic search algorithm for discrete variables based multi-objective optimization
Structural and Multidisciplinary Optimization
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We propose an optimization-via-simulation algorithm for use when the performance measure is estimated via a stochastic, discrete-event simulation, and the decision variables may be subject to deterministic linear integer constraints. Our approach---which consists of a global guidance system, a selection-of-the-best procedure, and local improvement---is globally convergent under very mild conditions.