The Statistical Filter Approach to Constrained Optimization

DOI10.1080/00401706.2019.1638304MaRDI QIDQ6636548

Tony Pourmohamad, Herbert K. H. Lee

Publication date: 12 November 2024

Published in: Technometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• Multivariate stochastic process models for correlated responses of mixed type
• Global convergence of a tri-dimensional filter SQP algorithm based on the line search method
• Bayesian emulation of complex multi-output and dynamic computer models
• Efficient global optimization of expensive black-box functions
• On the global convergence of an SLP-filter algorithm that takes EQP steps
• The design and analysis of computer experiments.
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Constrained Bayesian optimization with noisy experiments
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Global Convergence of Filter Methods for Nonlinear Programming
• Introduction to Derivative-Free Optimization
• A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares
• On the Global Convergence of a Filter--SQP Algorithm
• A Filter-Trust-Region Method for Unconstrained Optimization
• Mesh Adaptive Direct Search Algorithms for Constrained Optimization
• Design and analysis of simulation experiments
• Nonlinear programming without a penalty function.
• Efficient Pareto frontier exploration using surrogate approximations

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