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You searched for subject:( Surrogate models). Showing records 1 – 30 of 65 total matches.

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Cornell University

1. Kristensen, Jesper. Uncertainty Quantification With Surrogate Models In Alloy Modeling.

Degree: PhD, Applied Physics, 2015, Cornell University

 The success of computational materials science in designing the materials of the future relies on the computation of materials properties using temporally expensive computer codes.… (more)

Subjects/Keywords: Uncertainty quantification; Surrogate models; Bayesian probability theory

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APA (6th Edition):

Kristensen, J. (2015). Uncertainty Quantification With Surrogate Models In Alloy Modeling. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/40658

Chicago Manual of Style (16th Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling.” 2015. Doctoral Dissertation, Cornell University. Accessed September 22, 2020. http://hdl.handle.net/1813/40658.

MLA Handbook (7th Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling.” 2015. Web. 22 Sep 2020.

Vancouver:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/1813/40658.

Council of Science Editors:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40658


University of Toronto

2. Mawyin, Tomas. Sensitivity Analysis of Material Property Predictions in Molecular Dynamics with Interatomic Potentials under Uncertainty.

Degree: 2015, University of Toronto

Molecular Dynamics (MD) simulations complement experimental methods by offering a computationally fast and accurate framework for determining the properties of materials. However, there is uncertainty… (more)

Subjects/Keywords: Aluminium; Graphene; Molecular Dynamics; Surrogate Models; 0538

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APA (6th Edition):

Mawyin, T. (2015). Sensitivity Analysis of Material Property Predictions in Molecular Dynamics with Interatomic Potentials under Uncertainty. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70456

Chicago Manual of Style (16th Edition):

Mawyin, Tomas. “Sensitivity Analysis of Material Property Predictions in Molecular Dynamics with Interatomic Potentials under Uncertainty.” 2015. Masters Thesis, University of Toronto. Accessed September 22, 2020. http://hdl.handle.net/1807/70456.

MLA Handbook (7th Edition):

Mawyin, Tomas. “Sensitivity Analysis of Material Property Predictions in Molecular Dynamics with Interatomic Potentials under Uncertainty.” 2015. Web. 22 Sep 2020.

Vancouver:

Mawyin T. Sensitivity Analysis of Material Property Predictions in Molecular Dynamics with Interatomic Potentials under Uncertainty. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/1807/70456.

Council of Science Editors:

Mawyin T. Sensitivity Analysis of Material Property Predictions in Molecular Dynamics with Interatomic Potentials under Uncertainty. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70456


Mississippi State University

3. Gandikota, Imtiaz Shareef. Multilevel design optimization of automotive structures using dummy- and vehicle-based responses.

Degree: MS, Aerospace Engineering, 2013, Mississippi State University

  A computationally efficient multilevel decomposition and optimization framework is developed for application to automotive structures. A full scale finite element (FE) model of a… (more)

Subjects/Keywords: crashworthiness; optimization; surrogate models; occupant restraint system

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APA (6th Edition):

Gandikota, I. S. (2013). Multilevel design optimization of automotive structures using dummy- and vehicle-based responses. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-123424/ ;

Chicago Manual of Style (16th Edition):

Gandikota, Imtiaz Shareef. “Multilevel design optimization of automotive structures using dummy- and vehicle-based responses.” 2013. Masters Thesis, Mississippi State University. Accessed September 22, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-123424/ ;.

MLA Handbook (7th Edition):

Gandikota, Imtiaz Shareef. “Multilevel design optimization of automotive structures using dummy- and vehicle-based responses.” 2013. Web. 22 Sep 2020.

Vancouver:

Gandikota IS. Multilevel design optimization of automotive structures using dummy- and vehicle-based responses. [Internet] [Masters thesis]. Mississippi State University; 2013. [cited 2020 Sep 22]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-123424/ ;.

Council of Science Editors:

Gandikota IS. Multilevel design optimization of automotive structures using dummy- and vehicle-based responses. [Masters Thesis]. Mississippi State University; 2013. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-123424/ ;


Delft University of Technology

4. Li, Ang (author). Optimization of Composite Structures for Crashworthiness.

Degree: 2019, Delft University of Technology

Structural optimization for crashworthiness in composite structures has become an important topic of research in aerospace, attributable to its proven benefits to the occupants' safety… (more)

Subjects/Keywords: Optimization; Crashworthiness; Surrogate models; LS-DYNA

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APA (6th Edition):

Li, A. (. (2019). Optimization of Composite Structures for Crashworthiness. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:66aaf067-8763-4c39-91e3-ef01fb25948d

Chicago Manual of Style (16th Edition):

Li, Ang (author). “Optimization of Composite Structures for Crashworthiness.” 2019. Masters Thesis, Delft University of Technology. Accessed September 22, 2020. http://resolver.tudelft.nl/uuid:66aaf067-8763-4c39-91e3-ef01fb25948d.

MLA Handbook (7th Edition):

Li, Ang (author). “Optimization of Composite Structures for Crashworthiness.” 2019. Web. 22 Sep 2020.

Vancouver:

Li A(. Optimization of Composite Structures for Crashworthiness. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Sep 22]. Available from: http://resolver.tudelft.nl/uuid:66aaf067-8763-4c39-91e3-ef01fb25948d.

Council of Science Editors:

Li A(. Optimization of Composite Structures for Crashworthiness. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:66aaf067-8763-4c39-91e3-ef01fb25948d


Carnegie Mellon University

5. Eason, John P. A Trust Region Filter Algorithm for Surrogate-based Optimization.

Degree: 2018, Carnegie Mellon University

 Modern nonlinear programming solvers can efficiently handle very large scale optimization problems when accurate derivative information is available. However, black box or derivative free modeling… (more)

Subjects/Keywords: Model Reduction; Multi-scale Engineering; Optimization; Process Systems; Surrogate Models

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APA (6th Edition):

Eason, J. P. (2018). A Trust Region Filter Algorithm for Surrogate-based Optimization. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1145

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Eason, John P. “A Trust Region Filter Algorithm for Surrogate-based Optimization.” 2018. Thesis, Carnegie Mellon University. Accessed September 22, 2020. http://repository.cmu.edu/dissertations/1145.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Eason, John P. “A Trust Region Filter Algorithm for Surrogate-based Optimization.” 2018. Web. 22 Sep 2020.

Vancouver:

Eason JP. A Trust Region Filter Algorithm for Surrogate-based Optimization. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2020 Sep 22]. Available from: http://repository.cmu.edu/dissertations/1145.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eason JP. A Trust Region Filter Algorithm for Surrogate-based Optimization. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1145

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Simeone, Simone. Gust loads reconstruction for in-service support.

Degree: Thesis (Eng.D.), 2020, University of Bristol

 Gust and turbulence events are of primary importance in the estimation of limit loads and in the analysis of flight incidents. The estimation of limit… (more)

Subjects/Keywords: Gust; Loads; Optimisation; Reconstruction; Surrogate Models; SVD; Development

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APA (6th Edition):

Simeone, S. (2020). Gust loads reconstruction for in-service support. (Doctoral Dissertation). University of Bristol. Retrieved from http://hdl.handle.net/1983/63bc5dba-20c3-4d87-a6da-3ec7716622d4

Chicago Manual of Style (16th Edition):

Simeone, Simone. “Gust loads reconstruction for in-service support.” 2020. Doctoral Dissertation, University of Bristol. Accessed September 22, 2020. http://hdl.handle.net/1983/63bc5dba-20c3-4d87-a6da-3ec7716622d4.

MLA Handbook (7th Edition):

Simeone, Simone. “Gust loads reconstruction for in-service support.” 2020. Web. 22 Sep 2020.

Vancouver:

Simeone S. Gust loads reconstruction for in-service support. [Internet] [Doctoral dissertation]. University of Bristol; 2020. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/1983/63bc5dba-20c3-4d87-a6da-3ec7716622d4.

Council of Science Editors:

Simeone S. Gust loads reconstruction for in-service support. [Doctoral Dissertation]. University of Bristol; 2020. Available from: http://hdl.handle.net/1983/63bc5dba-20c3-4d87-a6da-3ec7716622d4


Virginia Tech

7. Macatula, Romcholo Yulo. Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes.

Degree: MS, Mathematics, 2020, Virginia Tech

 Parameter uncertainty quantification seeks to determine both estimates and uncertainty regarding estimates of model parameters. Example of model parameters can include physical properties such as… (more)

Subjects/Keywords: uncertainty quantification; surrogate models; linear parameter estimation; tomography; bayesian; gaussian process

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APA (6th Edition):

Macatula, R. Y. (2020). Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99411

Chicago Manual of Style (16th Edition):

Macatula, Romcholo Yulo. “Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes.” 2020. Masters Thesis, Virginia Tech. Accessed September 22, 2020. http://hdl.handle.net/10919/99411.

MLA Handbook (7th Edition):

Macatula, Romcholo Yulo. “Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes.” 2020. Web. 22 Sep 2020.

Vancouver:

Macatula RY. Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/10919/99411.

Council of Science Editors:

Macatula RY. Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99411


University of Illinois – Chicago

8. Fathony, Rizal Zaini Ahmad. Performance-Aligned Learning Algorithms with Statistical Guarantees.

Degree: 2019, University of Illinois – Chicago

 The goal of many prediction tasks in machine learning is to learn a prediction function that minimizes certain loss metrics (e.g., zero-one, ordinal, and cost-sensitive… (more)

Subjects/Keywords: Machine Learning; Classification; Surrogate Loss; Structured Prediction; Graphical Models

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APA (6th Edition):

Fathony, R. Z. A. (2019). Performance-Aligned Learning Algorithms with Statistical Guarantees. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fathony, Rizal Zaini Ahmad. “Performance-Aligned Learning Algorithms with Statistical Guarantees.” 2019. Thesis, University of Illinois – Chicago. Accessed September 22, 2020. http://hdl.handle.net/10027/23627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fathony, Rizal Zaini Ahmad. “Performance-Aligned Learning Algorithms with Statistical Guarantees.” 2019. Web. 22 Sep 2020.

Vancouver:

Fathony RZA. Performance-Aligned Learning Algorithms with Statistical Guarantees. [Internet] [Thesis]. University of Illinois – Chicago; 2019. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/10027/23627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fathony RZA. Performance-Aligned Learning Algorithms with Statistical Guarantees. [Thesis]. University of Illinois – Chicago; 2019. Available from: http://hdl.handle.net/10027/23627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

9. Stern, Raphael E. Improved methods for fast system reliability analysis through machine-learning-based surrogate models.

Degree: MS, Civil Engineering, 2015, University of Illinois – Urbana-Champaign

 In the aftermath of a natural disaster, knowledge of the connectivity of different regions of infrastructure networks is crucial to post-event decision making. The specific… (more)

Subjects/Keywords: System Reliability Analysis; Machine Learning; Surrogate Models; Infrastructure Reliability

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APA (6th Edition):

Stern, R. E. (2015). Improved methods for fast system reliability analysis through machine-learning-based surrogate models. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stern, Raphael E. “Improved methods for fast system reliability analysis through machine-learning-based surrogate models.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed September 22, 2020. http://hdl.handle.net/2142/78506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stern, Raphael E. “Improved methods for fast system reliability analysis through machine-learning-based surrogate models.” 2015. Web. 22 Sep 2020.

Vancouver:

Stern RE. Improved methods for fast system reliability analysis through machine-learning-based surrogate models. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/2142/78506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stern RE. Improved methods for fast system reliability analysis through machine-learning-based surrogate models. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Graciano, José Eduardo Alves. Síntese ótima de processos não isotérmicos de tratamento de efluentes.

Degree: Mestrado, Engenharia Química, 2012, University of São Paulo

As metodologias para a síntese de processos, baseadas em otimização de superestruturas, mostram-se mais poderosas do que as baseadas no projeto em heuríticas, já que… (more)

Subjects/Keywords: Modelos reduzidos; Optimization; Otimização; Process synthesis; Síntese de processos; Superestrutura; Superstructure; Surrogate models

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APA (6th Edition):

Graciano, J. E. A. (2012). Síntese ótima de processos não isotérmicos de tratamento de efluentes. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3137/tde-27092012-103217/ ;

Chicago Manual of Style (16th Edition):

Graciano, José Eduardo Alves. “Síntese ótima de processos não isotérmicos de tratamento de efluentes.” 2012. Masters Thesis, University of São Paulo. Accessed September 22, 2020. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-27092012-103217/ ;.

MLA Handbook (7th Edition):

Graciano, José Eduardo Alves. “Síntese ótima de processos não isotérmicos de tratamento de efluentes.” 2012. Web. 22 Sep 2020.

Vancouver:

Graciano JEA. Síntese ótima de processos não isotérmicos de tratamento de efluentes. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2020 Sep 22]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3137/tde-27092012-103217/ ;.

Council of Science Editors:

Graciano JEA. Síntese ótima de processos não isotérmicos de tratamento de efluentes. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/3/3137/tde-27092012-103217/ ;

11. Lindmark, Daniel. Simulation based exploration of a loading strategy for a LHD-vehicle.

Degree: Physics, 2016, Umeå University

  Optimizing the loading process of a front loader vehicle is a challenging task. The design space is large and depends on the design of… (more)

Subjects/Keywords: DEM NDEM surrogate models loading strategy granular material Pareto; Physical Sciences; Fysik

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APA (6th Edition):

Lindmark, D. (2016). Simulation based exploration of a loading strategy for a LHD-vehicle. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126419

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lindmark, Daniel. “Simulation based exploration of a loading strategy for a LHD-vehicle.” 2016. Thesis, Umeå University. Accessed September 22, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126419.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lindmark, Daniel. “Simulation based exploration of a loading strategy for a LHD-vehicle.” 2016. Web. 22 Sep 2020.

Vancouver:

Lindmark D. Simulation based exploration of a loading strategy for a LHD-vehicle. [Internet] [Thesis]. Umeå University; 2016. [cited 2020 Sep 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126419.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lindmark D. Simulation based exploration of a loading strategy for a LHD-vehicle. [Thesis]. Umeå University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126419

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

12. Fernandez, Maria Giselle. Quantifying Particle Departure from Axisymmetry in Multiphase Cylindrical Detonation.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2018, University of Florida

 Dense layers of solid particles surrounding a high-energy explosive generate instabilities after detonation. Conjectures as to the cause of these instabilities include imperfections in the… (more)

Subjects/Keywords: bundled  – cylindrical  – dispersal  – explosive  – instability  – models  – multi-fidelity  – multiphase  – parametric  – simulations  – surrogate  – symmetries

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APA (6th Edition):

Fernandez, M. G. (2018). Quantifying Particle Departure from Axisymmetry in Multiphase Cylindrical Detonation. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052880

Chicago Manual of Style (16th Edition):

Fernandez, Maria Giselle. “Quantifying Particle Departure from Axisymmetry in Multiphase Cylindrical Detonation.” 2018. Doctoral Dissertation, University of Florida. Accessed September 22, 2020. https://ufdc.ufl.edu/UFE0052880.

MLA Handbook (7th Edition):

Fernandez, Maria Giselle. “Quantifying Particle Departure from Axisymmetry in Multiphase Cylindrical Detonation.” 2018. Web. 22 Sep 2020.

Vancouver:

Fernandez MG. Quantifying Particle Departure from Axisymmetry in Multiphase Cylindrical Detonation. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2020 Sep 22]. Available from: https://ufdc.ufl.edu/UFE0052880.

Council of Science Editors:

Fernandez MG. Quantifying Particle Departure from Axisymmetry in Multiphase Cylindrical Detonation. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052880


Louisiana State University

13. Salas Ortiz, Santiago David. Extensive Sensitivity Analysis and Parallel Stochastic Global Optimization Using Radial Basis Functions of Integrated Biorefineries under Operational Level Uncertainties.

Degree: MSChE, Chemical Engineering, 2016, Louisiana State University

 This work presents a decision-making framework for global optimization of detailed renewable energy processes considering technological uncertainty. The critical uncertain sources are identified with an… (more)

Subjects/Keywords: Integrated biorefineries; Renewables; Uncertainty analysis; Technological uncertainty; Radial basis functions; Surrogate models; Global optimization

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APA (6th Edition):

Salas Ortiz, S. D. (2016). Extensive Sensitivity Analysis and Parallel Stochastic Global Optimization Using Radial Basis Functions of Integrated Biorefineries under Operational Level Uncertainties. (Masters Thesis). Louisiana State University. Retrieved from etd-04052016-185104 ; https://digitalcommons.lsu.edu/gradschool_theses/2284

Chicago Manual of Style (16th Edition):

Salas Ortiz, Santiago David. “Extensive Sensitivity Analysis and Parallel Stochastic Global Optimization Using Radial Basis Functions of Integrated Biorefineries under Operational Level Uncertainties.” 2016. Masters Thesis, Louisiana State University. Accessed September 22, 2020. etd-04052016-185104 ; https://digitalcommons.lsu.edu/gradschool_theses/2284.

MLA Handbook (7th Edition):

Salas Ortiz, Santiago David. “Extensive Sensitivity Analysis and Parallel Stochastic Global Optimization Using Radial Basis Functions of Integrated Biorefineries under Operational Level Uncertainties.” 2016. Web. 22 Sep 2020.

Vancouver:

Salas Ortiz SD. Extensive Sensitivity Analysis and Parallel Stochastic Global Optimization Using Radial Basis Functions of Integrated Biorefineries under Operational Level Uncertainties. [Internet] [Masters thesis]. Louisiana State University; 2016. [cited 2020 Sep 22]. Available from: etd-04052016-185104 ; https://digitalcommons.lsu.edu/gradschool_theses/2284.

Council of Science Editors:

Salas Ortiz SD. Extensive Sensitivity Analysis and Parallel Stochastic Global Optimization Using Radial Basis Functions of Integrated Biorefineries under Operational Level Uncertainties. [Masters Thesis]. Louisiana State University; 2016. Available from: etd-04052016-185104 ; https://digitalcommons.lsu.edu/gradschool_theses/2284


University of Louisville

14. Chakraborty, Sutirtha. Novel methods based on regression techniques to analyze multistate models and high-dimensional omics data.

Degree: PhD, 2013, University of Louisville

 The dissertation is based on four distinct research projects that are loosely interconnected by the common link of a regression framework. Chapter 1 provides an… (more)

Subjects/Keywords: Multistate models; Mann-Whitney U-test; Surrogate variables; Partial least squares; Backfitting; Batch effects

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APA (6th Edition):

Chakraborty, S. (2013). Novel methods based on regression techniques to analyze multistate models and high-dimensional omics data. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/229 ; https://ir.library.louisville.edu/etd/229

Chicago Manual of Style (16th Edition):

Chakraborty, Sutirtha. “Novel methods based on regression techniques to analyze multistate models and high-dimensional omics data.” 2013. Doctoral Dissertation, University of Louisville. Accessed September 22, 2020. 10.18297/etd/229 ; https://ir.library.louisville.edu/etd/229.

MLA Handbook (7th Edition):

Chakraborty, Sutirtha. “Novel methods based on regression techniques to analyze multistate models and high-dimensional omics data.” 2013. Web. 22 Sep 2020.

Vancouver:

Chakraborty S. Novel methods based on regression techniques to analyze multistate models and high-dimensional omics data. [Internet] [Doctoral dissertation]. University of Louisville; 2013. [cited 2020 Sep 22]. Available from: 10.18297/etd/229 ; https://ir.library.louisville.edu/etd/229.

Council of Science Editors:

Chakraborty S. Novel methods based on regression techniques to analyze multistate models and high-dimensional omics data. [Doctoral Dissertation]. University of Louisville; 2013. Available from: 10.18297/etd/229 ; https://ir.library.louisville.edu/etd/229

15. Holmstedt, Oskar. Deep-learning-accelerated Bayesian inference for state-space models .

Degree: Chalmers tekniska högskola / Institutionen för matematiska vetenskaper, 2020, Chalmers University of Technology

 Bayesian inference is an important statistical tool for estimating uncertainties in model parameters from data. One very important method is the Metropolis-Hastings algorithm, which allows… (more)

Subjects/Keywords: Bayesian inference; MCMC; Metropolis-Hastings; state-space models; Bayesian filtering; surrogate likelihood; deep learning

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APA (6th Edition):

Holmstedt, O. (2020). Deep-learning-accelerated Bayesian inference for state-space models . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/301661

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Holmstedt, Oskar. “Deep-learning-accelerated Bayesian inference for state-space models .” 2020. Thesis, Chalmers University of Technology. Accessed September 22, 2020. http://hdl.handle.net/20.500.12380/301661.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Holmstedt, Oskar. “Deep-learning-accelerated Bayesian inference for state-space models .” 2020. Web. 22 Sep 2020.

Vancouver:

Holmstedt O. Deep-learning-accelerated Bayesian inference for state-space models . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/20.500.12380/301661.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Holmstedt O. Deep-learning-accelerated Bayesian inference for state-space models . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/301661

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Nachar, Stéphane. Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduits : Structural design optimization by coupling multi-fidelity metamodels and reduced-order models.

Degree: Docteur es, Mécanique des solides, 2019, Université Paris-Saclay (ComUE)

Les phases de conception et de validation de pièces mécaniques nécessitent des outils de calculs rapides et fiables, permettant de faire des choix technologiques en… (more)

Subjects/Keywords: Optimisation; Réduction de modèles; Métamodèle; Viscoplasticité; Krigeage; Structural design; Reduced-Order Models; Surrogate Models; Viscoplasticity; Kriging

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APA (6th Edition):

Nachar, S. (2019). Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduits : Structural design optimization by coupling multi-fidelity metamodels and reduced-order models. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2019SACLN051

Chicago Manual of Style (16th Edition):

Nachar, Stéphane. “Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduits : Structural design optimization by coupling multi-fidelity metamodels and reduced-order models.” 2019. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed September 22, 2020. http://www.theses.fr/2019SACLN051.

MLA Handbook (7th Edition):

Nachar, Stéphane. “Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduits : Structural design optimization by coupling multi-fidelity metamodels and reduced-order models.” 2019. Web. 22 Sep 2020.

Vancouver:

Nachar S. Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduits : Structural design optimization by coupling multi-fidelity metamodels and reduced-order models. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2019. [cited 2020 Sep 22]. Available from: http://www.theses.fr/2019SACLN051.

Council of Science Editors:

Nachar S. Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduits : Structural design optimization by coupling multi-fidelity metamodels and reduced-order models. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2019. Available from: http://www.theses.fr/2019SACLN051

17. Asritha, Kotha Sri Lakshmi Kamakshi. Comparing Random forest and Kriging Methods for Surrogate Modeling.

Degree: 2020, , Faculty of Computing

  The issue with conducting real experiments in design engineering is the cost factor to find an optimal design that fulfills all design requirements and… (more)

Subjects/Keywords: Machine learning; Regression; Random Forest; kriging; Prediction models; Surrogate models; and Design engineering; Computer Systems; Datorsystem

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Asritha, K. S. L. K. (2020). Comparing Random forest and Kriging Methods for Surrogate Modeling. (Thesis). , Faculty of Computing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20230

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Asritha, Kotha Sri Lakshmi Kamakshi. “Comparing Random forest and Kriging Methods for Surrogate Modeling.” 2020. Thesis, , Faculty of Computing. Accessed September 22, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20230.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Asritha, Kotha Sri Lakshmi Kamakshi. “Comparing Random forest and Kriging Methods for Surrogate Modeling.” 2020. Web. 22 Sep 2020.

Vancouver:

Asritha KSLK. Comparing Random forest and Kriging Methods for Surrogate Modeling. [Internet] [Thesis]. , Faculty of Computing; 2020. [cited 2020 Sep 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20230.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Asritha KSLK. Comparing Random forest and Kriging Methods for Surrogate Modeling. [Thesis]. , Faculty of Computing; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20230

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Andersson, Daniel. Improved accuracy of surrogate models using output postprocessing.

Degree: Humanities and Informatics, 2007, University of Skövde

  Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an established technique for decreasing the execution time of simulation optimization problems. However,… (more)

Subjects/Keywords: Simulation optimization; Surrogate-assisted simulation optimization; Surrogate approximations; Surrogate models; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Andersson, D. (2007). Improved accuracy of surrogate models using output postprocessing. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-312

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Andersson, Daniel. “Improved accuracy of surrogate models using output postprocessing.” 2007. Thesis, University of Skövde. Accessed September 22, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Andersson, Daniel. “Improved accuracy of surrogate models using output postprocessing.” 2007. Web. 22 Sep 2020.

Vancouver:

Andersson D. Improved accuracy of surrogate models using output postprocessing. [Internet] [Thesis]. University of Skövde; 2007. [cited 2020 Sep 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Andersson D. Improved accuracy of surrogate models using output postprocessing. [Thesis]. University of Skövde; 2007. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-312

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Pokhrel, Jharna. Multi-Hazard Vulnerability Assessment of Monopile Foundation Offshore Wind Turbines.

Degree: MS, Civil and Environmental Engineering, 2018, South Dakota State University

  Offshore Wind Turbines (OWTs) have increased in popularity because of numerous technological advancements in the sector of renewable energy. With such an increase in… (more)

Subjects/Keywords: FAST; fragility curves; multiple linear regression; offshore wind turbine; response surface metamodels; surrogate models; Civil and Environmental Engineering

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APA (6th Edition):

Pokhrel, J. (2018). Multi-Hazard Vulnerability Assessment of Monopile Foundation Offshore Wind Turbines. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/2454

Chicago Manual of Style (16th Edition):

Pokhrel, Jharna. “Multi-Hazard Vulnerability Assessment of Monopile Foundation Offshore Wind Turbines.” 2018. Masters Thesis, South Dakota State University. Accessed September 22, 2020. https://openprairie.sdstate.edu/etd/2454.

MLA Handbook (7th Edition):

Pokhrel, Jharna. “Multi-Hazard Vulnerability Assessment of Monopile Foundation Offshore Wind Turbines.” 2018. Web. 22 Sep 2020.

Vancouver:

Pokhrel J. Multi-Hazard Vulnerability Assessment of Monopile Foundation Offshore Wind Turbines. [Internet] [Masters thesis]. South Dakota State University; 2018. [cited 2020 Sep 22]. Available from: https://openprairie.sdstate.edu/etd/2454.

Council of Science Editors:

Pokhrel J. Multi-Hazard Vulnerability Assessment of Monopile Foundation Offshore Wind Turbines. [Masters Thesis]. South Dakota State University; 2018. Available from: https://openprairie.sdstate.edu/etd/2454

20. SUSHANT SUHAS GARUD. NOVEL PARADIGM FOR APPROXIMATING SYSTEMS USING SURROGATE MODELS.

Degree: 2018, National University of Singapore

Subjects/Keywords: Surrogate Models; Complex systems; Sampling; Knowledge pyramid; Metamodel

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

GARUD, S. S. (2018). NOVEL PARADIGM FOR APPROXIMATING SYSTEMS USING SURROGATE MODELS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/145721

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

GARUD, SUSHANT SUHAS. “NOVEL PARADIGM FOR APPROXIMATING SYSTEMS USING SURROGATE MODELS.” 2018. Thesis, National University of Singapore. Accessed September 22, 2020. http://scholarbank.nus.edu.sg/handle/10635/145721.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

GARUD, SUSHANT SUHAS. “NOVEL PARADIGM FOR APPROXIMATING SYSTEMS USING SURROGATE MODELS.” 2018. Web. 22 Sep 2020.

Vancouver:

GARUD SS. NOVEL PARADIGM FOR APPROXIMATING SYSTEMS USING SURROGATE MODELS. [Internet] [Thesis]. National University of Singapore; 2018. [cited 2020 Sep 22]. Available from: http://scholarbank.nus.edu.sg/handle/10635/145721.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

GARUD SS. NOVEL PARADIGM FOR APPROXIMATING SYSTEMS USING SURROGATE MODELS. [Thesis]. National University of Singapore; 2018. Available from: http://scholarbank.nus.edu.sg/handle/10635/145721

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. CHOO THIAN SIONG. DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING.

Degree: 2017, National University of Singapore

Subjects/Keywords: surrogate models; TWEANN; design exploration; performance-based design

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APA (6th Edition):

SIONG, C. T. (2017). DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/146948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SIONG, CHOO THIAN. “DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING.” 2017. Thesis, National University of Singapore. Accessed September 22, 2020. http://scholarbank.nus.edu.sg/handle/10635/146948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SIONG, CHOO THIAN. “DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING.” 2017. Web. 22 Sep 2020.

Vancouver:

SIONG CT. DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING. [Internet] [Thesis]. National University of Singapore; 2017. [cited 2020 Sep 22]. Available from: http://scholarbank.nus.edu.sg/handle/10635/146948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SIONG CT. DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING. [Thesis]. National University of Singapore; 2017. Available from: http://scholarbank.nus.edu.sg/handle/10635/146948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Clément, Aloïs. Quantification de radionucléides par approche stochastique globale : Global stochastic approach for radionuclides quantification.

Degree: Docteur es, Physique Nucléaire, 2017, Clermont Auvergne

Parmi les techniques de mesure nucléaire non destructives utilisées par les instrumentistes du noyau atomique, la spectrométrie gamma est aujourd’hui une méthode d’identification et de… (more)

Subjects/Keywords: Mesure nucléaire; Spectrométrie gamma; Métamodélisation; MCMC; Cadre Bayésien; Nuclear measurement; Gamma spectrometry; Surrogate models; MCMC; Bayesian framework

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Clément, A. (2017). Quantification de radionucléides par approche stochastique globale : Global stochastic approach for radionuclides quantification. (Doctoral Dissertation). Clermont Auvergne. Retrieved from http://www.theses.fr/2017CLFAC049

Chicago Manual of Style (16th Edition):

Clément, Aloïs. “Quantification de radionucléides par approche stochastique globale : Global stochastic approach for radionuclides quantification.” 2017. Doctoral Dissertation, Clermont Auvergne. Accessed September 22, 2020. http://www.theses.fr/2017CLFAC049.

MLA Handbook (7th Edition):

Clément, Aloïs. “Quantification de radionucléides par approche stochastique globale : Global stochastic approach for radionuclides quantification.” 2017. Web. 22 Sep 2020.

Vancouver:

Clément A. Quantification de radionucléides par approche stochastique globale : Global stochastic approach for radionuclides quantification. [Internet] [Doctoral dissertation]. Clermont Auvergne; 2017. [cited 2020 Sep 22]. Available from: http://www.theses.fr/2017CLFAC049.

Council of Science Editors:

Clément A. Quantification de radionucléides par approche stochastique globale : Global stochastic approach for radionuclides quantification. [Doctoral Dissertation]. Clermont Auvergne; 2017. Available from: http://www.theses.fr/2017CLFAC049


New Jersey Institute of Technology

23. Algharbi, Imouline. Experimentally linking head kinematics to brain deformation.

Degree: MSin Biomedical Engineering - (M.S.), Biomedical Engineering, 2019, New Jersey Institute of Technology

  Traumatic brain injury (TBI) research is used to study the effects of brain injuries and the rehabilitations for them. TBI contributes to major cause… (more)

Subjects/Keywords: Traumatic brain injury; Head kinematics; Acceleration; Head-surrogate models; Blast injury; Blunt injury; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Algharbi, I. (2019). Experimentally linking head kinematics to brain deformation. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/1682

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Algharbi, Imouline. “Experimentally linking head kinematics to brain deformation.” 2019. Thesis, New Jersey Institute of Technology. Accessed September 22, 2020. https://digitalcommons.njit.edu/theses/1682.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Algharbi, Imouline. “Experimentally linking head kinematics to brain deformation.” 2019. Web. 22 Sep 2020.

Vancouver:

Algharbi I. Experimentally linking head kinematics to brain deformation. [Internet] [Thesis]. New Jersey Institute of Technology; 2019. [cited 2020 Sep 22]. Available from: https://digitalcommons.njit.edu/theses/1682.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Algharbi I. Experimentally linking head kinematics to brain deformation. [Thesis]. New Jersey Institute of Technology; 2019. Available from: https://digitalcommons.njit.edu/theses/1682

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Freynet, David. Développement d'une méthodologie pour l'optimisation multicritère de scénarios d'évolution du parc nucléaire : Methodology implementation for multiobjective optimisation for nuclear fleet evolution scenarios.

Degree: Docteur es, Mécanique des fluides, procédés, énergétique, 2016, Université Grenoble Alpes (ComUE)

 La question de l’évolution du parc nucléaire français peut être considérée via l’étude de scénarios électronucléaires. Ces études présentent un rôle important, compte-tenu des enjeux,… (more)

Subjects/Keywords: Optimisation multicritère; Scénarios électronucléaires; Métaheuristiques; Métamodèles d'irradiation; Multiobjective optimisation; Nuclear transition scenarios; Metaheuristics; Irradiation surrogate models; 620

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APA (6th Edition):

Freynet, D. (2016). Développement d'une méthodologie pour l'optimisation multicritère de scénarios d'évolution du parc nucléaire : Methodology implementation for multiobjective optimisation for nuclear fleet evolution scenarios. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2016GREAI047

Chicago Manual of Style (16th Edition):

Freynet, David. “Développement d'une méthodologie pour l'optimisation multicritère de scénarios d'évolution du parc nucléaire : Methodology implementation for multiobjective optimisation for nuclear fleet evolution scenarios.” 2016. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed September 22, 2020. http://www.theses.fr/2016GREAI047.

MLA Handbook (7th Edition):

Freynet, David. “Développement d'une méthodologie pour l'optimisation multicritère de scénarios d'évolution du parc nucléaire : Methodology implementation for multiobjective optimisation for nuclear fleet evolution scenarios.” 2016. Web. 22 Sep 2020.

Vancouver:

Freynet D. Développement d'une méthodologie pour l'optimisation multicritère de scénarios d'évolution du parc nucléaire : Methodology implementation for multiobjective optimisation for nuclear fleet evolution scenarios. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2016. [cited 2020 Sep 22]. Available from: http://www.theses.fr/2016GREAI047.

Council of Science Editors:

Freynet D. Développement d'une méthodologie pour l'optimisation multicritère de scénarios d'évolution du parc nucléaire : Methodology implementation for multiobjective optimisation for nuclear fleet evolution scenarios. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2016. Available from: http://www.theses.fr/2016GREAI047


Louisiana State University

25. Malde, Manthan. Thermomechanical modeling and optimization of friction stir welding.

Degree: MSIE, Construction Engineering and Management, 2009, Louisiana State University

  This thesis research implemented an existing thermomechanical model of friction stir welding process, and studied the surrogate model-based optimization approach to obtain optimal process… (more)

Subjects/Keywords: regression analysis; improved harmony search algorithm; surrogate models

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APA (6th Edition):

Malde, M. (2009). Thermomechanical modeling and optimization of friction stir welding. (Masters Thesis). Louisiana State University. Retrieved from etd-11132009-081957 ; https://digitalcommons.lsu.edu/gradschool_theses/909

Chicago Manual of Style (16th Edition):

Malde, Manthan. “Thermomechanical modeling and optimization of friction stir welding.” 2009. Masters Thesis, Louisiana State University. Accessed September 22, 2020. etd-11132009-081957 ; https://digitalcommons.lsu.edu/gradschool_theses/909.

MLA Handbook (7th Edition):

Malde, Manthan. “Thermomechanical modeling and optimization of friction stir welding.” 2009. Web. 22 Sep 2020.

Vancouver:

Malde M. Thermomechanical modeling and optimization of friction stir welding. [Internet] [Masters thesis]. Louisiana State University; 2009. [cited 2020 Sep 22]. Available from: etd-11132009-081957 ; https://digitalcommons.lsu.edu/gradschool_theses/909.

Council of Science Editors:

Malde M. Thermomechanical modeling and optimization of friction stir welding. [Masters Thesis]. Louisiana State University; 2009. Available from: etd-11132009-081957 ; https://digitalcommons.lsu.edu/gradschool_theses/909

26. Reehuis, Edgar Julius Jeronimus. Guiding evolutionary search towards innovative solutions.

Degree: 2013, Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University

 The main goal of this work is to develop a method that, operating on top of an Evolutionary Algorithm, increases its likeliness of finding innovative… (more)

Subjects/Keywords: Design optimization; Surrogate models; Novelty; Interestingness; Aerodynamic simulation; Evolutionary algorithms; Design optimization; Surrogate models; Novelty; Interestingness; Aerodynamic simulation; Evolutionary algorithms

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APA (6th Edition):

Reehuis, E. J. J. (2013). Guiding evolutionary search towards innovative solutions. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/22875

Chicago Manual of Style (16th Edition):

Reehuis, Edgar Julius Jeronimus. “Guiding evolutionary search towards innovative solutions.” 2013. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University. Accessed September 22, 2020. http://hdl.handle.net/1887/22875.

MLA Handbook (7th Edition):

Reehuis, Edgar Julius Jeronimus. “Guiding evolutionary search towards innovative solutions.” 2013. Web. 22 Sep 2020.

Vancouver:

Reehuis EJJ. Guiding evolutionary search towards innovative solutions. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University; 2013. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/1887/22875.

Council of Science Editors:

Reehuis EJJ. Guiding evolutionary search towards innovative solutions. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University; 2013. Available from: http://hdl.handle.net/1887/22875


University of Notre Dame

27. Yinhao Zhu. Data-Driven and Physics-Constrained Deep Learning for Surrogate Modeling and Uncertainty Quantification of Physical Systems</h1>.

Degree: Electrical Engineering, 2019, University of Notre Dame

Surrogate modeling is computationally attractive for problems that require repetitive yet expensive simulations of PDEs, such as uncertainty propagation, deterministic design or inverse problems,… (more)

Subjects/Keywords: surrogate modeling; uncertainty quantification; image translation; Bayesian neural networks; Stein variational gradient descent; normalizing flow; generative models; physics-constrained; energy-based models; porous media flow

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APA (6th Edition):

Zhu, Y. (2019). Data-Driven and Physics-Constrained Deep Learning for Surrogate Modeling and Uncertainty Quantification of Physical Systems</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/0v83805292k

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhu, Yinhao. “Data-Driven and Physics-Constrained Deep Learning for Surrogate Modeling and Uncertainty Quantification of Physical Systems</h1>.” 2019. Thesis, University of Notre Dame. Accessed September 22, 2020. https://curate.nd.edu/show/0v83805292k.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhu, Yinhao. “Data-Driven and Physics-Constrained Deep Learning for Surrogate Modeling and Uncertainty Quantification of Physical Systems</h1>.” 2019. Web. 22 Sep 2020.

Vancouver:

Zhu Y. Data-Driven and Physics-Constrained Deep Learning for Surrogate Modeling and Uncertainty Quantification of Physical Systems</h1>. [Internet] [Thesis]. University of Notre Dame; 2019. [cited 2020 Sep 22]. Available from: https://curate.nd.edu/show/0v83805292k.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu Y. Data-Driven and Physics-Constrained Deep Learning for Surrogate Modeling and Uncertainty Quantification of Physical Systems</h1>. [Thesis]. University of Notre Dame; 2019. Available from: https://curate.nd.edu/show/0v83805292k

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Macquarie University

28. Mashinchi, M. Hadi. Fuzzy linear regression with global continuous optimization.

Degree: PhD, 2012, Macquarie University

Bibliography: p. 144-159.

Introduction  – Global continuous optimization  – Fuzzy linear regression  – Approaching fuzzy linear regression by global continuous optimization  – Performance evaluation of… (more)

Subjects/Keywords: Mathematical optimization; Combinatorial optimization; Regression analysis  – Mathematical models; Fuzzy algorithms; Heuristic algorithms; Genetic algorithms; Harmonic analysis; fuzzy linear regression; hybrid optimization; tabu search; harmony search; surrogate models; global continuous optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mashinchi, M. H. (2012). Fuzzy linear regression with global continuous optimization. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/203990

Chicago Manual of Style (16th Edition):

Mashinchi, M Hadi. “Fuzzy linear regression with global continuous optimization.” 2012. Doctoral Dissertation, Macquarie University. Accessed September 22, 2020. http://hdl.handle.net/1959.14/203990.

MLA Handbook (7th Edition):

Mashinchi, M Hadi. “Fuzzy linear regression with global continuous optimization.” 2012. Web. 22 Sep 2020.

Vancouver:

Mashinchi MH. Fuzzy linear regression with global continuous optimization. [Internet] [Doctoral dissertation]. Macquarie University; 2012. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/1959.14/203990.

Council of Science Editors:

Mashinchi MH. Fuzzy linear regression with global continuous optimization. [Doctoral Dissertation]. Macquarie University; 2012. Available from: http://hdl.handle.net/1959.14/203990


Université Paris-Sud – Paris XI

29. Loshchilov, Ilya. Surrogate-Assisted Evolutionary Algorithms : Les algorithmes évolutionnaires à la base de méta-modèles scalaires.

Degree: Docteur es, Informatique, 2013, Université Paris-Sud – Paris XI

 Les Algorithmes Évolutionnaires (AEs) ont été très étudiés en raison de leur capacité à résoudre des problèmes d'optimisation complexes en utilisant des opérateurs de variation… (more)

Subjects/Keywords: Optimisation; Optimisation continue; Optimisation continue boîte noire; Algorithmes évolutionnaires; CMA-ES; Modèle de substitution; Optimisation par modèle de substitution assisté; Optimization; Continuous optimization; Black-box optimization; Evolutionary algorithms; CMA-ES; Surrogate models; Surrogate-assisted optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Loshchilov, I. (2013). Surrogate-Assisted Evolutionary Algorithms : Les algorithmes évolutionnaires à la base de méta-modèles scalaires. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2013PA112004

Chicago Manual of Style (16th Edition):

Loshchilov, Ilya. “Surrogate-Assisted Evolutionary Algorithms : Les algorithmes évolutionnaires à la base de méta-modèles scalaires.” 2013. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed September 22, 2020. http://www.theses.fr/2013PA112004.

MLA Handbook (7th Edition):

Loshchilov, Ilya. “Surrogate-Assisted Evolutionary Algorithms : Les algorithmes évolutionnaires à la base de méta-modèles scalaires.” 2013. Web. 22 Sep 2020.

Vancouver:

Loshchilov I. Surrogate-Assisted Evolutionary Algorithms : Les algorithmes évolutionnaires à la base de méta-modèles scalaires. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2013. [cited 2020 Sep 22]. Available from: http://www.theses.fr/2013PA112004.

Council of Science Editors:

Loshchilov I. Surrogate-Assisted Evolutionary Algorithms : Les algorithmes évolutionnaires à la base de méta-modèles scalaires. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2013. Available from: http://www.theses.fr/2013PA112004

30. Yankov, Artem. Analysis of Reactor Simulations Using Surrogate Models.

Degree: PhD, Nuclear Engineering and Radiological Sciences, 2015, University of Michigan

 The relatively recent abundance of computing resources has driven computational scientists to build more complex and approximation-free computer models of physical phenomenon. Often times, multiple… (more)

Subjects/Keywords: surrogate models; Nuclear Engineering and Radiological Sciences; Engineering

…reduced order models, also known as surrogate models, are utilized. Reduced order models work to… …Simulator: Simulate perturbed input data Analyze N2 results 14 CHAPTER 2 Surrogate Models for… …surrogate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 44 46 51 55 57 61 61 62… …free computer models of physical phenomenon. Often times, multiple high fidelity computer… …multiphysics codes. Surrogates models for expensive computer codes have shown promise towards making… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yankov, A. (2015). Analysis of Reactor Simulations Using Surrogate Models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/111485

Chicago Manual of Style (16th Edition):

Yankov, Artem. “Analysis of Reactor Simulations Using Surrogate Models.” 2015. Doctoral Dissertation, University of Michigan. Accessed September 22, 2020. http://hdl.handle.net/2027.42/111485.

MLA Handbook (7th Edition):

Yankov, Artem. “Analysis of Reactor Simulations Using Surrogate Models.” 2015. Web. 22 Sep 2020.

Vancouver:

Yankov A. Analysis of Reactor Simulations Using Surrogate Models. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Sep 22]. Available from: http://hdl.handle.net/2027.42/111485.

Council of Science Editors:

Yankov A. Analysis of Reactor Simulations Using Surrogate Models. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/111485

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