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A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems

IEEE transactions on evolutionary computation, 2014-04, Vol.18 (2), p.180-192

2014

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Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression

Computers & chemical engineering, 2024-03, Vol.182, p.108563, Article 108563

2024

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Automatic selection for general surrogate models

Structural and multidisciplinary optimization, 2018-08, Vol.58 (2), p.719-734

2018

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Surrogate Models and Ensemble Strategies for Expensive Evolutionary Optimization: An Industrial Case Study

IEEE access, 2024, Vol.12, p.86144-86159

2024

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Assessing the weighted multi-objective adaptive surrogate model optimization to derive large-scale reservoir operating rules with sensitivity analysis

Journal of hydrology (Amsterdam), 2017-01, Vol.544, p.613-627

2017

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Flow fields prediction for data-driven model of parallel twin cylinders based on POD-RBFNN and POD-BPNN surrogate models

Annals of nuclear energy, 2024-05, Vol.199, p.110342, Article 110342

2024

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Hazardous atmospheric dispersion in urban areas: A Deep Learning approach for emergency pollution forecast

Environmental modelling & software : with environment data news, 2022-06, Vol.152 (june), p.105387, Article 105387

2022

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A comparative study for adaptive surrogate-model-based reliability evaluation method of automobile components

International journal of structural integrity, 2023-05, Vol.14 (3), p.498-519

2023

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A comparative research of different ensemble surrogate models based on set pair analysis for the DNAPL-contaminated aquifer remediation strategy optimization

Journal of contaminant hydrology, 2017-08, Vol.203, p.28-37

2017

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A new surrogate model–based method for individualized spot welding sequence optimization with respect to geometrical quality

International journal of advanced manufacturing technology, 2020, Vol.106 (5-6), p.2333-2346

2020

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Techno-economic assessment of surrogate-based real-time control and monitoring of secondary effluent ozonation at pilot scale

Chemical engineering journal (Lausanne, Switzerland : 1996), 2018-11, Vol.352, p.431-440

2018

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An ensemble weighted average conservative multi-fidelity surrogate modeling method for engineering optimization

Engineering with computers, 2022-06, Vol.38 (3), p.2221-2244

2022

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Radial basis functions with a priori bias as surrogate models:A comparative study

Engineering applications of artificial intelligence, 2018-05, Vol.71, p.28-44

2018

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Evaluation of surrogate flood models for the use in impact-based flood warning systems at national scale

Environmental modelling & software : with environment data news, 2024-02, Vol.173, p.105936, Article 105936

2024

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Advances in surrogate based modeling, feasibility analysis, and optimization: A review

Computers & chemical engineering, 2018-01, Vol.108, p.250-267

2018

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An efficient variable screening method for effective surrogate models for reliability-based design optimization

Structural and multidisciplinary optimization, 2014-11, Vol.50 (5), p.717-738

2014

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Bayesian reduced-order deep learning surrogate model for dynamic systems described by partial differential equations

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117147, Article 117147

2024

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A Buckling Analysis and Optimization Method for a Variable Stiffness Cylindrical Pressure Shell of AUV

Journal of marine science and engineering, 2021-06, Vol.9 (6), p.637

2021

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Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study

Information sciences, 2021-07, Vol.562, p.414-437

2021

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Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems

IEEE transactions on evolutionary computation, 2022-08, Vol.26 (4), p.676-689

2022

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Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems

Information sciences, 2021-05, Vol.556, p.404-435

2021

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Process design within planetary boundaries: Application to CO2 based methanol production

Chemical engineering science, 2021-12, Vol.246, p.116891, Article 116891

2021

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Projection-based model reduction: Formulations for physics-based machine learning

Computers & fluids, 2019-01, Vol.179, p.704-717

2019

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Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review

Chemosphere (Oxford), 2023-12, Vol.345, p.140476-140476, Article 140476

2023

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A framework and generic models for quantifying surface environmental impact of VOCs emissions from the complex fractured rocks

Environmental pollution (1987), 2024-12, Vol.362, p.124820, Article 124820

2024

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A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems

Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression

Automatic selection for general surrogate models

Surrogate Models and Ensemble Strategies for Expensive Evolutionary Optimization: An Industrial Case Study

Assessing the weighted multi-objective adaptive surrogate model optimization to derive large-scale reservoir operating rules with sensitivity analysis

Flow fields prediction for data-driven model of parallel twin cylinders based on POD-RBFNN and POD-BPNN surrogate models

Hazardous atmospheric dispersion in urban areas: A Deep Learning approach for emergency pollution forecast

A comparative study for adaptive surrogate-model-based reliability evaluation method of automobile components

A comparative research of different ensemble surrogate models based on set pair analysis for the DNAPL-contaminated aquifer remediation strategy optimization

A new surrogate model–based method for individualized spot welding sequence optimization with respect to geometrical quality

Techno-economic assessment of surrogate-based real-time control and monitoring of secondary effluent ozonation at pilot scale

An ensemble weighted average conservative multi-fidelity surrogate modeling method for engineering optimization

Radial basis functions with a priori bias as surrogate models:A comparative study

Evaluation of surrogate flood models for the use in impact-based flood warning systems at national scale

Advances in surrogate based modeling, feasibility analysis, and optimization: A review

An efficient variable screening method for effective surrogate models for reliability-based design optimization

Bayesian reduced-order deep learning surrogate model for dynamic systems described by partial differential equations

A Buckling Analysis and Optimization Method for a Variable Stiffness Cylindrical Pressure Shell of AUV

Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study

Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems

Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems

Process design within planetary boundaries: Application to CO2 based methanol production

Projection-based model reduction: Formulations for physics-based machine learning

Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review

A framework and generic models for quantifying surface environmental impact of VOCs emissions from the complex fractured rocks

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