High-dimensional black-box optimization under uncertainty
From MaRDI portal
Publication:2669612
DOI10.1016/j.cor.2021.105444OpenAlexW3180254116MaRDI QIDQ2669612
Jay M. Rosenberger, Hadis Anahideh, Victoria C. P. Chen
Publication date: 9 March 2022
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1911.02457
uncertaintyblack-box functionsderivative-freelimited datasurrogate optimizationnon-interpolating model
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for~computationally expensive black-box global optimization problems
- Constrained global optimization of expensive black box functions using radial basis functions
- Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions
- A method for simulation based optimization using radial basis functions
- SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems
- Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach
- Penalized spline estimation for functional coefficient regression models
- Oracally efficient spline smoothing of nonlinear additive autoregression models with simultaneous confidence band
- Multivariate adaptive regression splines
- Efficient global optimization of expensive black-box functions
- Orthogonal arrays. Theory and applications
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- GOSAC: global optimization with surrogate approximation of constraints
- Structural optimization using evolution strategies and neural networks
- A survey on kriging-based infill algorithms for multiobjective simulation optimization
- MISO: mixed-integer surrogate optimization framework
- Global optimization of stochastic black-box systems via sequential kriging meta-models
- Surrogate-based distributed optimisation for expensive black-box functions
- Bayesian Calibration of Computer Models
- Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming
- Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
- Automotive crashworthiness design using response surface‐based variable screening and optimization
- Uniformly distributed sequences with an additional uniform property
- Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial Spline Approach
- On the distribution of points in a cube and the approximate evaluation of integrals
- Orthogonal Arrays of Strength two and three
- THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS
This page was built for publication: High-dimensional black-box optimization under uncertainty