ATSV

Research Methods and Tools for Trade Space Exploration
ARL / PenN State

Publications and Proceedings

Trade Space Exploration Research

Stump, G.M., Lego, S., Yukish, M., Simpson, T. W., Donndelinger, J. A., Visual Steering Commands for Trade Space Exploration : User-Guided Sampling With Example. Journal of Computing and Information Science in Engineering, 2009. 9(4): p. 044501:1-10.

Simpson, T.W., Miller, S., Tibor, E.B., Yukish, M.A., Stump, G., Kannan, H., Mesmer, B., Winer, E.H. and Bloebaum, C.L. (2017), Adding Value to Trade Space Exploration When Designing Complex Engineered Systems. Syst Eng, 20: 131-146. https://doi.org/10.1002/sys.21384

Jordan, D. J., Spencer, D. B., Simpson, T. W., Yukish, Stump, G.M., J. A., Optimal Continuous-Thrust Trajectories via Visual Trade Space Exploration. To be published in the Journal of Astronautical Sciences

S. E. Lego, G. M. Stump and M. Yukish, "Trade space exploration: New Visual Steering features," 2010 IEEE Aerospace Conference, Big Sky, MT, USA, 2010, pp. 1-6, doi: 10.1109/AERO.2010.5446882.

O'Hara, J.J., Stump, G. M., Yukish, M. A., Harris, E. N., Hanowski, G. H., Carty, A. Advanced Visualization Techniques for Trade Space Exploration. in 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 2007. Honolulu, Hawii.

Kim, H., Ragon, S., Stump, G., Yukish, M. Interactive Design Selection Process through Visualization and User Guided Search. in 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 2006. Portsmouth, VA.

Stump, G., Yukish M., Martin J., and Simpson T. The ARL Trade Space Visualizer: An Engineering Decision-Making Tool. in 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 2004. Albany, NY, Paper No. 2004-4568.

Stump, G.M., Yukish, M., Simpson, T. W., and O'Hara, J. J. Trade Space Exploration of Satellite Datasets Using a Design By Shopping Paradigm. in IEEE Aerospace Conference. 2004. Big Sky, MT.

Stump, G.M., Yukish, M., Simpson, T. W., Harris, E. N. Design Space Visualization and Its Application to a Design by Shopping Paradigm. in Proceedings of DETC 2003, ASME. 2003. Chicago, IL, Paper No. DETC2003/DAC-48785

Sequential Decision Process

Miller, S. W., M. A. Yukish, and T. W. Simpson. 2018. “Design as a sequential decision process.” Struct. Multidiscip. Optim. 57: 305–324.

Miller, S. W. 2017. “Design as a sequential decision process: A method for reducing set spaces using models to bound objectives.” Ph.D. thesis, Pennsylvania State University, Dept. of Mechanical Engineering.

Miller, S. W., T. W. Simpson, and M. A. Yukish. 2017. “Two applications of design as a sequential decision process.” In ASME 2017 Int. Design Engineering Technical Conf. and Computers and Information in Engineering Conf. New York: ASME.

Miller, S. W., T. W. Simpson, and M. A. Yukish. 2015. “Design as a sequential decision process: A method for reducing design set space using models to bound objectives.” In Int. Design Engineering Technical Conf. and Computers and Information in Engineering Conf. ASME. https://www.asme.org

Miller, S. W., T. W. Simpson, M. A. Yukish, L. A. Bennett, et al. 2013. “Preference construction, sequential decision making, and trade space exploration.” In ASME 2013 Int. Design Engineering Technical Conf. and Computers and Information in Engineering Conf. New York: ASME.

Miller, Simon & Simpson, Timothy & Yukish, Mike & Bennett, Lorri & Lego, Sara & Stump, Gary. (2013). Preference Construction, Sequential Decision Making, and Trade Space Exploration. Proceedings of the ASME Design Engineering Technical Conference. 3. 10.1115/DETC2013-13098.

Freight Rail Trade Energy Trade Studies

https://www.scorelocomotives.org

Ahuja, N., Martin, J. D., Yukish, M. A., Stump, G. M., Bennett, L. A., Schlake, B. W., Anstrom, J. R., and Rahn, C. D. (December 11, 2023). "Route-Based Energy Analysis of Hybrid Rail Consists." ASME. J. Dyn. Sys., Meas., Control. January 2024; 146(1): 011103. https://doi.org/10.1115/1.4064091

Ahuja, N, Martin, JD, Yukish, MA, Stump, GM, Bennett, LA, Schlake, BW, Anstrom, JR, & Rahn, CD. "Route Based Fuel Savings of Freight Train Hybridization." Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 25th International Conference on Advanced Vehicle Technologies (AVT). Boston, Massachusetts, USA. August 20–23, 2023. V001T01A005. ASME. https://doi.org/10.1115/DETC2023-114683

Human-AI Teams

Xu, Z., Hong, C. S., Soria Zurita, N. F., Gyory, J. T., Stump, G., Nolte, H., Cagan, J., and McComb, C. (February 1, 2024). "Adaptation Through Communication: Assessing Human–Artificial Intelligence Partnership for the Design of Complex Engineering Systems." ASME. J. Mech. Des. August 2024; 146(8): 081401. https://doi.org/10.1115/1.4064490

Gyory, JT, Soria Zurita, NF, Martin, JD, Balon, CM, McComb, C, Kotovsky, K, & Cagan, J. "A Real-Time Artificial Intelligence Process Manager for Engineering Design." Proceedings of the ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3B: 48th Design Automation Conference (DAC). St. Louis, Missouri, USA. August 14–17, 2022. V03BT03A018. ASME. https://doi.org/10.1115/DETC2022-88609

Song, B., Soria Zurita, N. F., Gyory, J. T., Zhang, G., McComb, C., Cagan, J., Stump, G., Martin, J., Miller, S., Balon, C., & Yukish, M. (2022). Decoding the agility of artificial intelligence-assisted human design teams. Design Studies, 79, Article 101094. https://doi.org/10.1016/j.destud.2022.101094

Soria Zurita NF, Gyory JT, Balon C, Martin J, Kotovsky K, Cagan J, McComb C. Data on the Human Versus artificial intelligence process management experiment. Data Brief. 2022 Feb 8;41:107917. doi: 10.1016/j.dib.2022.107917. PMID: 35242909; PMCID: PMC8857413.

Gyory, J. T., Soria Zurita, N. F., Martin, J., Balon, C., McComb, C., Kotovsky, K., and Cagan, J. (October 14, 2021). "Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design." ASME. J. Mech. Des. February 2022; 144(2): 021405. https://doi.org/10.1115/1.4052488

Zhang G, Soria Zurita NF, Stump G, Song B, Cagan J, McComb C. Data on the design and operation of drones by both individuals and teams. Data Brief. 2021 Mar 27;36:107008. doi: 10.1016/j.dib.2021.107008. PMID: 33855142; PMCID: PMC8027539.

Stump, GM, Yukish, M, Cagan, J, & McComb, C. "Using Deep Learning to Simulate Multi-Disciplinary Design Teams." Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3A: 47th Design Automation Conference (DAC). Virtual, Online. August 17–19, 2021. V03AT03A016. ASME. https://doi.org/10.1115/DETC2021-70596

RNN Deep Learning Design Optimization

Yukish, M. A., Stump, G. M., and Miller, S. W. (May 8, 2020). "Using Recurrent Neural Networks to Model Spatial Grammars for Design Creation." ASME. J. Mech. Des. October 2020; 142(10): 104501. https://doi.org/10.1115/1.4046806

Stump, G. M., Miller, S. W., Yukish, M. A., Simpson, T. W., and Tucker, C. (September 30, 2019). "Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization." ASME. J. Mech. Des. December 2019; 141(12): 124501.

Research Methods and Tools for Trade Space Exploration ARL / PenN State

Research Methods and Tools for Trade Space Exploration
ARL / PenN State