Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm
Computer-based tools have great potential for facilitating the design of large-scale engineering systems. Interviews with veteran designers of desalination systems revealed that they tended to employ a trial-and-error approach to determine critical design parameters when using software design packag...
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| Format: | Article |
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ASME International
2018
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| Online Access: | http://hdl.handle.net/1721.1/115082 https://orcid.org/0000-0001-6677-383X https://orcid.org/0000-0001-7891-1187 https://orcid.org/0000-0002-7776-3423 |
| _version_ | 1826205052356788224 |
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| author | De Weck, Olivier L Yu, Bo Yang Yang, Maria |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics De Weck, Olivier L Yu, Bo Yang Yang, Maria |
| author_sort | De Weck, Olivier L |
| collection | MIT |
| description | Computer-based tools have great potential for facilitating the design of large-scale engineering systems. Interviews with veteran designers of desalination systems revealed that they tended to employ a trial-and-error approach to determine critical design parameters when using software design packages. A series of human experiments were conducted to observe the performance and behavior of test subjects during a series of simulated design processes involving seawater reverse osmosis (SWRO) plants. The subjects were mostly students with a spectrum of knowledge levels in desalination system design. The experiments showed that subjects who ranked top in performance behaved very differently from those who were bottom-ranked. The problem-solving profiles of the best performing subjects resembled a well-tuned simulated annealing optimization algorithm while the worst performing subjects used a pseudo random search strategy. This finding could be used to improve computerbased design tools by utilizing the synergy between strengths of humans and computers. |
| first_indexed | 2024-09-23T13:06:18Z |
| format | Article |
| id | mit-1721.1/115082 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:06:18Z |
| publishDate | 2018 |
| publisher | ASME International |
| record_format | dspace |
| spelling | mit-1721.1/1150822022-09-28T12:02:47Z Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm De Weck, Olivier L Yu, Bo Yang Yang, Maria Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Mechanical Engineering De Weck, Olivier L Yu, Bo Yang Yang, Maria Computer-based tools have great potential for facilitating the design of large-scale engineering systems. Interviews with veteran designers of desalination systems revealed that they tended to employ a trial-and-error approach to determine critical design parameters when using software design packages. A series of human experiments were conducted to observe the performance and behavior of test subjects during a series of simulated design processes involving seawater reverse osmosis (SWRO) plants. The subjects were mostly students with a spectrum of knowledge levels in desalination system design. The experiments showed that subjects who ranked top in performance behaved very differently from those who were bottom-ranked. The problem-solving profiles of the best performing subjects resembled a well-tuned simulated annealing optimization algorithm while the worst performing subjects used a pseudo random search strategy. This finding could be used to improve computerbased design tools by utilizing the synergy between strengths of humans and computers. 2018-04-30T14:16:40Z 2018-04-30T14:16:40Z 2015-08 2015-08 2018-03-19T19:02:03Z Article http://purl.org/eprint/type/ConferencePaper 978-0-7918-5717-5 http://hdl.handle.net/1721.1/115082 Yu, Bo Yang et al. “Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm.” 27th International Conference on Design Theory and Methodology, August 2015, Boston, Massachusetts, USA, ASME, 2015 © 2015 ASME https://orcid.org/0000-0001-6677-383X https://orcid.org/0000-0001-7891-1187 https://orcid.org/0000-0002-7776-3423 http://dx.doi.org/10.1115/DETC2015-47674 27th International Conference on Design Theory and Methodology Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf ASME International ASME |
| spellingShingle | De Weck, Olivier L Yu, Bo Yang Yang, Maria Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm |
| title | Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm |
| title_full | Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm |
| title_fullStr | Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm |
| title_full_unstemmed | Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm |
| title_short | Parameter Design Strategies: A Comparison Between Human Designers and the Simulated Annealing Algorithm |
| title_sort | parameter design strategies a comparison between human designers and the simulated annealing algorithm |
| url | http://hdl.handle.net/1721.1/115082 https://orcid.org/0000-0001-6677-383X https://orcid.org/0000-0001-7891-1187 https://orcid.org/0000-0002-7776-3423 |
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