Combining structural performance and designer preferences in evolutionary design space exploration
This paper addresses the need to consider both quantitative performance goals and qualitative requirements in conceptual design. A new computational approach for design space exploration is proposed that extends existing interactive evolutionary algorithms for increased inclusion of designer prefere...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/108253 https://orcid.org/0000-0001-7646-8505 https://orcid.org/0000-0002-6235-1995 |
| _version_ | 1826210533610618880 |
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| author | Mueller, Caitlin T Ochsendorf, John A |
| author2 | Massachusetts Institute of Technology. Department of Architecture |
| author_facet | Massachusetts Institute of Technology. Department of Architecture Mueller, Caitlin T Ochsendorf, John A |
| author_sort | Mueller, Caitlin T |
| collection | MIT |
| description | This paper addresses the need to consider both quantitative performance goals and qualitative requirements in conceptual design. A new computational approach for design space exploration is proposed that extends existing interactive evolutionary algorithms for increased inclusion of designer preferences, overcoming the weaknesses of traditional optimization that have limited its use in practice. This approach allows designers to set the evolutionary parameters of mutation rate and generation size, in addition to parent selection, in order to steer design space exploration. This paper demonstrates the potential of this approach through a numerical parametric study, a software implementation, and series of case studies. |
| first_indexed | 2024-09-23T14:51:29Z |
| format | Article |
| id | mit-1721.1/108253 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:51:29Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1082532022-10-01T22:58:00Z Combining structural performance and designer preferences in evolutionary design space exploration Mueller, Caitlin T Ochsendorf, John A Massachusetts Institute of Technology. Department of Architecture Mueller, Caitlin T. Mueller, Caitlin T Ochsendorf, John A This paper addresses the need to consider both quantitative performance goals and qualitative requirements in conceptual design. A new computational approach for design space exploration is proposed that extends existing interactive evolutionary algorithms for increased inclusion of designer preferences, overcoming the weaknesses of traditional optimization that have limited its use in practice. This approach allows designers to set the evolutionary parameters of mutation rate and generation size, in addition to parent selection, in order to steer design space exploration. This paper demonstrates the potential of this approach through a numerical parametric study, a software implementation, and series of case studies. 2017-04-19T15:58:56Z 2017-04-19T15:58:56Z 2015-04 2014-11 Article http://purl.org/eprint/type/JournalArticle 0926-5805 http://hdl.handle.net/1721.1/108253 Mueller, Caitlin T., and John A. Ochsendorf. “Combining Structural Performance and Designer Preferences in Evolutionary Design Space Exploration.” Automation in Construction 52 (April 2015): 70–82. https://orcid.org/0000-0001-7646-8505 https://orcid.org/0000-0002-6235-1995 en_US http://dx.doi.org/10.1016/j.autcon.2015.02.011 Automation in Construction Creative Commons Attribution-Noncommercial-NoDerivatives http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Mueller |
| spellingShingle | Mueller, Caitlin T Ochsendorf, John A Combining structural performance and designer preferences in evolutionary design space exploration |
| title | Combining structural performance and designer preferences in evolutionary design space exploration |
| title_full | Combining structural performance and designer preferences in evolutionary design space exploration |
| title_fullStr | Combining structural performance and designer preferences in evolutionary design space exploration |
| title_full_unstemmed | Combining structural performance and designer preferences in evolutionary design space exploration |
| title_short | Combining structural performance and designer preferences in evolutionary design space exploration |
| title_sort | combining structural performance and designer preferences in evolutionary design space exploration |
| url | http://hdl.handle.net/1721.1/108253 https://orcid.org/0000-0001-7646-8505 https://orcid.org/0000-0002-6235-1995 |
| work_keys_str_mv | AT muellercaitlint combiningstructuralperformanceanddesignerpreferencesinevolutionarydesignspaceexploration AT ochsendorfjohna combiningstructuralperformanceanddesignerpreferencesinevolutionarydesignspaceexploration |