Statistical testing of optimality conditions in multiresponse simulation-based optimization
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Publication:1042164
DOI10.1016/j.ejor.2008.11.050zbMath1176.90434OpenAlexW3124555415MaRDI QIDQ1042164
Jack P. C. Kleijnen, Bert Bettonvil, Enrique Del Castillo
Publication date: 7 December 2009
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2008.11.050
Related Items (8)
Continuous optimization via simulation using golden region search ⋮ Importance of verifying queue model assumptions before planning with simulation software ⋮ Regression and Kriging metamodels with their experimental designs in simulation: a review ⋮ Optimality functions in stochastic programming ⋮ The cross-entropy method in multi-objective optimisation: an assessment ⋮ Kriging metamodeling in simulation: a review ⋮ Simulation optimization: a review of algorithms and applications ⋮ An Asymptotic Test of Optimality Conditions in Multiresponse Simulation Optimization
Uses Software
Cites Work
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- Kriging metamodeling in simulation: a review
- Bootstrap hypothesis testing for some common statistical problems: a critical evaluation of size and power properties
- Simultaneous statistical inference. 2nd ed
- Statistical verification of optimality conditions for stochastic programs with recourse
- The design and analysis of computer experiments.
- Robustness of kriging when interpolating in random simulation with heterogeneous variances: some experiments
- A stochastic quasi-Newton method for simulation response optimization
- Process optimization. A statistical approach.
- Optimization of (s, S) Inventory Systems with Random Lead Times and a Service Level Constraint
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Kriging for interpolation in random simulation
- Overbooking with Substitutable Inventory Classes
- SOME PROBLEMS INVOLVING LINEAR HYPOTHESES IN MULTIVARIATE ANALYSIS
- Analysing Data from Hormone-Receptor Assays
- A combined procedure for optimization via simulation
- Estimation of Multiresponse Simulation Metamodels Using Control Variates
- Design and analysis of simulation experiments
- Minimizing the bias and variance of the gradient estimate in RSM simulation studies
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