An extended two-stage sequential optimization approach: properties and performance
type: Item
instance of: scholarly article
title: An extended two-stage sequential optimization approach: properties and performance
zbMATH Open document ID: 1487.90503
author: Giulia Pedrielli
author: Songhao Wang
author: Szu Hui Ng
published in: European Journal of Operational Research
publication date: 2021-05-03T00:00:00Z
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 7342778
zbMATH Keywords: global optimization
zbMATH Keywords: simulation-optimization
zbMATH Keywords: two-stage sequential optimization
zbMATH Keywords: eTSSO
zbMATH Keywords: convergence
describes a project that uses: R-SPLINE
describes a project that uses: ASTRO-DF
describes a project that uses: EGO
MaRDI profile type: Publication
full work available at URL: j.ejor.2020.04.045
OpenAlex ID: W3028105819
cites work: Stochastic Kriging for Simulation Metamodeling
cites work: Q5186236
cites work: Convergence rates of efficient global optimization algorithms
cites work: Simulation budget allocation for further enhancing the efficiency of ordinal optimization
cites work: Improvements on Cross-Validation: The .632+ Bootstrap Method
cites work: Comparison of Gaussian process modeling software
cites work: Handbook of simulation optimization
cites work: Global optimization of stochastic black-box systems via sequential kriging meta-models
cites work: Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise
cites work: Efficient global optimization of expensive black-box functions
cites work: Expected improvement in efficient global optimization through bootstrapped Kriging
cites work: Robustness of kriging when interpolating in random simulation with heterogeneous variances: some experiments
cites work: Bayesian algorithms for one-dimensional global optimization
cites work: Pattern discrete and mixed hit-and-run for global optimization
cites work: Simultaneous statistical inference. 2nd ed
cites work: Q3618870
cites work: Bayesian Kriging Analysis and Design for Stochastic Simulations
cites work: On Sampling Rates in Simulation-Based Recursions
cites work: Analysis of Sample-Path Optimization
cites work: The design and analysis of computer experiments.
cites work: ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization
cites work: Nested Partitions Method for Global Optimization
cites work: Interpolation of spatial data. Some theory for kriging
cites work: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
cites work: Q5389683
cites work: Integer-Ordered Simulation Optimization using R-SPLINE
cites work: Numerical Optimization
cites work: Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data
cites work: Industrial strength COMPASS
cites work: Q4421713
DOI: 10.1016/J.EJOR.2020.04.045
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description: scientific article; zbMATH DE number 7342778