White noise assumptions revisited: regression metamodels and experimental designs in practice
Proceedings of the 38th conference on Winter simulation
Regression models and experimental designs: a tutorial for simulation analysts
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Kriging metamodeling in constrained simulation optimization: an explorative study
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Some topics for simulation optimization
Proceedings of the 40th Conference on Winter Simulation
Better than a petaflop: the power of efficient experimental design
Proceedings of the 40th Conference on Winter Simulation
Analytical simulation modeling
Proceedings of the 40th Conference on Winter Simulation
Design of experiments: overview
Proceedings of the 40th Conference on Winter Simulation
A simulation study on the impact of physician starting time in a physical examination service
Proceedings of the 40th Conference on Winter Simulation
OPEDo: a tool for the optimization of performance and dependability models
ACM SIGMETRICS Performance Evaluation Review
Simulation modeling for analysis
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Game theoretic validation of air combat simulation models
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Integrated pre-design step methodology based onmulti-objective evolutionary optimization
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Game-theoretic validation and analysis of air combat simulation models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Better than a petaflop: the power of efficient experimental design
Winter Simulation Conference
Better simulation metamodeling: the why, what, and how of stochastic kriging
Winter Simulation Conference
Simulation optimization using metamodels
Winter Simulation Conference
Robust simulation-optimization using metamodels
Winter Simulation Conference
Estimating expected shortfall with stochastic kriging
Winter Simulation Conference
Kriging metamodeling in multi-objective simulation optimization
Winter Simulation Conference
Automatic and interactive tuning of algorithms
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
The Knowledge-Gradient Algorithm for Sequencing Experiments in Drug Discovery
INFORMS Journal on Computing
Computational & Mathematical Organization Theory
Design of computer experiments: space filling and beyond
Statistics and Computing
Global sensitivity analysis of stochastic computer models with joint metamodels
Statistics and Computing
On a general duality model in multiobjective fractional programming with n-set functions
Mathematical and Computer Modelling: An International Journal
Robust Optimization in Simulation: Taguchi and Krige Combined
INFORMS Journal on Computing
On direct gradient enhanced simulation metamodels
Proceedings of the Winter Simulation Conference
Convex and monotonic bootstrapped kriging
Proceedings of the Winter Simulation Conference
Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting
Proceedings of the Winter Simulation Conference
Work smarter, not harder: a tutorial on designing and conducting simulation experiments
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Multiple input and multiple output simulation metamodeling using Bayesian networks
Proceedings of the Winter Simulation Conference
Better than a petaflop: the power of efficient experimental design
Proceedings of the Winter Simulation Conference
Improved efficient, nearly orthogonal, nearly balanced mixed designs
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Parametric and distribution-free bootstrapping in robust simulation-optimization
Proceedings of the Winter Simulation Conference
Game theoretic simulation metamodeling using stochastic kriging
Proceedings of the Winter Simulation Conference
Simulation on demand for pricing many securities
Proceedings of the Winter Simulation Conference
Mathematics and Computers in Simulation
Journal of Global Optimization
Stochastic kriging with biased sample estimates
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A benchmark of kriging-based infill criteria for noisy optimization
Structural and Multidisciplinary Optimization
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Design and Analysis of Simulation Experiments (DASE)focuses on statistical methods for discrete-event simulation (such as queuing and inventory simulations). In addition, the book discusses DASE for deterministic simulation (such as engineering and physics simulations). The text presents both classic and modern statistical designs. Classic designs (e.g., fractional factorials) assume only a few factors with a few values per factor. The resulting input/output data of the simulation experiment are analyzed through low-order polynomials, which are linear regression (meta) models. Modern designs allow many more factors, possible with many values per factor. These designs include group screening (e.g., Sequential Bifurcation, SB) and space filling designs (e.g., Latin Hypercube Sampling, LHS). The data resulting from these modern designs may be analyzed through low-order polynomials for group screening and various metamodel types (e.g., Kriging) for LHS. Design and Analysis of Simulation Experimentsis an authoritative textbook and reference work for researchers, graduate students, and technical practitioners in simulation. Basic knowledge of simulation and mathematical statistics are expected; however, the book does summarize these basics, for the readers' convenience. In addition, the book provides relatively simple solutions for (a) selecting problems to simulate, (b) how to analyze the resulting data from simulation, and (c) computationally challenging simulation problems.