Generative Architectural Form Finding
Generative Architectural Form Finding is a computational design methodology within evolutionary architecture that systematically generates and optimizes architectural forms through algorithmic processes informed by performance criteria, environmental constraints, and generative rules distinct from manual or intuitive design approaches.
8
Publications
220
Citations
16
Authors
5
Institutions
Publications per year
2017–2026
3
Parents
8
Jeroen van Ameijde, Chun Yu, Garvin Goepel et al. · Frontiers of Architectural Research · 2021 · 33 citations · Full text
Branko Kolarevic · ACADIA quarterly · 2000 · 17 citations · Full text
Toni Kotnik, Michael Weinstock · Architectural Design · 2012 · 17 citations
Arts, Architectural Design, Design +17
1–5 of 8
16
1
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1
h-index
1
h-index
1
h-index
1 publications · 102 citations
1
h-index
1–5 of 16
5
California University of Pennsylvania
California, United States
1 h-index
1 publications
17 citations
University College London
London, United Kingdom
1 h-index
3 publications
48 citations
Technion – Israel Institute of Technology
Haifa, Israel
1 h-index
1 publications
10 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
3 publications
99 citations
University of Florida
Gainesville, United States
1 h-index
1 publications
10 citations

Lodz University of Technology
Lodz, Poland
1 publications
10 citations
1–6 of 5
AD · 2 publications · 28 citations
2
h-index
Conference · 1 publications · 16 citations
1
h-index
1 publications · 33 citations
1
h-index
Repository · 1 publications · 14 citations
1
h-index
2 publications · 22 citations
1
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1–5