Performance-based Generation
Performance-Based Generation is an algorithmic form generation approach that belongs to the class of computational design methods wherein the differentiating characteristic is the use of quantifiable performance criteria—such as structural efficiency, environmental response, or functional behavior—to drive and constrain the generative process.
5
Publications
155
Citations
16
Authors
7
Institutions
Publications per year
2017–2026
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Chosun University
Gwangju, South Korea
1 h-index
3 publications
33 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
2 publications
42 citations

Worcester Polytechnic Institute
Worcester, United States
1 h-index
1 publications
21 citations

University of Huddersfield
Huddersfield, United Kingdom
1 h-index
3 publications
81 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
2 publications
158 citations
Seoul National University
Seoul, South Korea
1 h-index
1 publications
11 citations
Yonsei University
Seoul, South Korea
1 h-index
3 publications
51 citations
1–7 of 7
1 publications · 27 citations
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Repository · 1 publications · 79 citations
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1 publications · 17 citations
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JETTA · 1 publications · 11 citations
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1 publications · 21 citations
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