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Multi-fidelity Co-Kriging surrogate model for ship hull form optimization
Ocean Engineering, 2022Xinwang Liu, Weiwen Zhao, D. Wan
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A multi-fidelity surrogate model based on support vector regression
Structural And Multidisciplinary Optimization, 2019Computational simulations with different fidelities have been widely used in engineering design and optimization. A high-fidelity (HF) model is generally more accurate but also more time-consuming than the corresponding low-fidelity (LF) model.
Maolin Shi +4 more
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An adaptive surrogate model to structural reliability analysis using deep neural network
Expert systems with applications, 2021Qui X. Lieu +5 more
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Structural And Multidisciplinary Optimization, 2021
Xiaoyu Zhao +4 more
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Xiaoyu Zhao +4 more
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The Generalized Penalty-Function/Surrogate Model
Operations Research, 1973This paper combines the monotonic-penalty-function and surrogate models into a general model called the penalty-function/surrogate model. It unifies and generalizes the central theorems of earlier papers, and provides some new theorems that can be specialized to the Lagrangian penalty-function model (GLM) or to linear surrogates.
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Optimization with Surrogate Models
2013In this chapter, we show how artificial curiosity can be used to focus on the most pertinent search points in black-box optimization. We present a novel response surface method, which employs a memory-based model to estimate the interestingness of each candidate point using Gaussian process regression.
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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