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Journal Articles

Using Recurrent Neural Networks to Model Spatial Grammars for Design Creation

Michael A Yukish, Gary M Stump, Simon W Miller

J. Mech. Des. October 2020, 142(10): 104501.

Paper No: MD-19-1284

DOI: https://doi.org/10.1115/1.4046806

Published Online: May 8, 2020

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Topics: Artificial neural networks, Design, String

Journal Articles

3D Design Using Generative Adversarial Networks and Physics-Based Validation

Dule Shu, James Cunningham, Gary Stump, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker

J. Mech. Des. July 2020, 142(7): 071701.

Paper No: MD-19-1242

DOI: https://doi.org/10.1115/1.4045419

Published Online: November 28, 2019

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Topics: Design, Physics, Aircraft, Simulation

Proceedings Papers

Deep Reinforcement Learning for Transfer of Control Policies

James D. Cunningham, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker

Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A003, August 18–21, 2019

Paper No: DETC2019-97689

DOI: https://doi.org/10.1115/DETC2019-97689

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Topics: Aircraft, Design, Robust control, Rotors, Simulation

Journal Articles

Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization

Gary M. Stump, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad Tucker

J. Mech. Des. December 2019, 141(12): 124501.

Paper No: MD-19-1169

DOI: https://doi.org/10.1115/1.4044398

Published Online: September 30, 2019

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Topics: Design, Optimization

Proceedings Papers

A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs

Matthew Dering, James Cunningham, Raj Desai, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker

Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A015, August 26–29, 2018

Paper No: DETC2018-86333

DOI: https://doi.org/10.1115/DETC2018-86333

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Topics: Physics, Virtual reality, Design, Artificial neural networks, Boats, Computers, Errors, Machinery, Probability, Simulation

Proceedings Papers

Two Applications of Design As a Sequential Decision Process

Simon W. Miller, Timothy W. Simpson, Michael A. Yukish

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A017, August 6–9, 2017

Paper No: DETC2017-68150

DOI: https://doi.org/10.1115/DETC2017-68150

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Topics: Design, Finite element analysis, Modeling, Optimization, Systems engineering

Proceedings Papers

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

Gary M. Stump, Simon W. Miller, Michael A. Yukish, Christopher M. Farrell

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A016, August 6–9, 2017

Paper No: DETC2017-67902

DOI: https://doi.org/10.1115/DETC2017-67902

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Topics: Design, Uncertainty, Visualization, Risk

Proceedings Papers

Design as a Sequential Decision Process: A Method for Reducing Design Set Space Using Models to Bound Objectives

Simon W. Miller, Timothy W. Simpson, Michael A. Yukish

Proc. ASME. IDETC-CIE2015, Volume 2A: 41st Design Automation Conference, V02AT03A020, August 2–5, 2015

Paper No: DETC2015-46909

DOI: https://doi.org/10.1115/DETC2015-46909

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Topics: Design, Modeling, Optimization

Proceedings Papers

Toward a Value-Driven Design Approach for Complex Engineered Systems Using Trade Space Exploration Tools

Simon W. Miller, Timothy W. Simpson, Michael A. Yukish, Gary Stump, Bryan L. Mesmer, Elliott B. Tibor, Christina L. Bloebaum, Eliot H. Winer

Proc. ASME. IDETC-CIE2014, Volume 2A: 40th Design Automation Conference, V02AT03A052, August 17–20, 2014

Paper No: DETC2014-34503

DOI: https://doi.org/10.1115/DETC2014-34503

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Topics: Design, Visualization, Complex systems, Decision making, Satellites, Teams, Tradeoffs

Proceedings Papers

Preference Construction, Sequential Decision Making, and Trade Space Exploration

Simon W. Miller, Timothy W. Simpson, Michael A. Yukish, Lorri A. Bennett, Sara E. Lego, Gary M. Stump

Proc. ASME. IDETC-CIE2013, Volume 3A: 39th Design Automation Conference, V03AT03A014, August 4–7, 2013

Paper No: DETC2013-13098

DOI: https://doi.org/10.1115/DETC2013-13098

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Topics: Construction, Decision making, Preferences, Design, Economics , Engineering design, Simulation

Journal citation

NARROW

Using Recurrent Neural Networks to Model Spatial Grammars for Design Creation

3D Design Using Generative Adversarial Networks and Physics-Based Validation

Deep Reinforcement Learning for Transfer of Control Policies

Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization

A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs

Two Applications of Design As a Sequential Decision Process

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

Design as a Sequential Decision Process: A Method for Reducing Design Set Space Using Models to Bound Objectives

Toward a Value-Driven Design Approach for Complex Engineered Systems Using Trade Space Exploration Tools

Preference Construction, Sequential Decision Making, and Trade Space Exploration

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