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Journal Articles

How Diverse Initial Samples Help and Hurt Bayesian Optimizers

Eesh Kamrah, Seyede Fatemeh Ghoreishi, Zijian “Jason” Ding, Joel Chan, Mark Fuge

Publisher: ASME

J. Mech. Des. November 2023, 145(11): 111703.

Paper No: MD-22-1550

https://doi.org/10.1115/1.4063006

Published Online: August 29, 2023

View Article titled, How Diverse Initial Samples Help and Hurt Bayesian Optimizers

Topics: Optimization, Design

Includes: Supplementary data

Proceedings Papers

Testing the Basis for an Automated Design-by-Analogy Tool Through Comparison to Expert Thinking

Katherine Fu, Joel Chan, Christian Schunn, Jonathan Cagan, Kenneth Kotovsky

Proc. ASME. IDETC-CIE2013, Volume 5: 25th International Conference on Design Theory and Methodology; ASME 2013 Power Transmission and Gearing Conference, V005T06A026, August 4–7, 2013

Publisher: American Society of Mechanical Engineers

Paper No: DETC2013-12128

https://doi.org/10.1115/DETC2013-12128

View Paper titled, Testing the Basis for an Automated Design-by-Analogy Tool Through Comparison to Expert Thinking

Topics: Design, Testing, Patents, Computational methods, Databases, Gages

Proceedings Papers

The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

Katherine Fu, Joel Chan, Jonathan Cagan, Kenneth Kotovsky, Christian Schunn, Kristin Wood

Proc. ASME. IDETC-CIE2012, Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology, 877-888, August 12–15, 2012

Publisher: American Society of Mechanical Engineers

Paper No: DETC2012-70420

https://doi.org/10.1115/DETC2012-70420