Agent-based Generative Design
Agent-Based Generative Design is a computational design methodology within algorithmic form generation that employs autonomous, rule-driven agents operating in a shared environment to iteratively produce and evolve complex design solutions through localized interactions and adaptive behaviors.
19
Publications
623
Citations
45
Authors
17
Institutions
Publications per year
2017–2026
11
Parents
19
Link-INVENT: generative linker design with reinforcement learning
Jeff Guo, Franziska Knuth, Christian Margreitter et al. · Digital Discovery · 2023 · 89 citations · Full text
Andruid Kerne, Eunyee Koh, Steven M. Smith et al. · ACM Transactions on Information Systems · 2008 · 58 citations
Arts, Design, Visualization +14
Andruid Kerne, Eunyee Koh, Blake Dworaczyk et al. · 2006 · 46 citations
Arts, Design, Visualization +14
1–5 of 19
45
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17
Carnegie Mellon University
Pittsburgh, United States
5 h-index
11 publications
300 citations

University of Calgary
Calgary, Canada
3 h-index
6 publications
150 citations

Pennsylvania State University
State College, United States
3 h-index
4 publications
133 citations
New York University
New York, United States
2 h-index
7 publications
242 citations
Texas A&M University
College Station, United States
2 h-index
15 publications
738 citations
AstraZeneca (Sweden)
Södertälje, Sweden
2 h-index
12 publications
683 citations
Chalmers University of Technology
Gothenburg, Sweden
2 h-index
2 publications
101 citations
Norwegian University of Science and Technology
Trondheim, Norway
2 h-index
2 publications
101 citations
1–8 of 17
3 publications · 120 citations
3
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AD · 1 publications · 27 citations
1
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Repository · 1 publications · 12 citations
1
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Conference · 1 publications · 30 citations
1
h-index
1 publications · 89 citations
1
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1–5