Generative Design Systems

Generative Design Systems is a computational framework that systematically synthesizes design variations through algorithmic processes guided by parametric rules, constraints, and generative algorithms to explore and optimize complex design spaces.

202

Publications

10.6K

Citations

531

Authors

187

Institutions

Publications per year

2017–2026

123

Authors

531

  1. LC
    Luisa Caldas

    University of California, Berkeley, United States

    4 publications · 320 citations

    5

    h-index

  2. JC
    Jonathan Cagan

    Carnegie Mellon University, United States

    5 publications · 161 citations

    5

    h-index

  3. KS
    Kristina Shea

    ETH Zurich, Switzerland

    4 publications · 423 citations

    4

    h-index

  4. AR
    Ayush Raina

    Carnegie Mellon University, United States

    4 publications · 130 citations

    4

    h-index

  5. GS
    Gregory S. Hornby

    Ames Research Center, United States

    4 publications · 383 citations

    4

    h-index

1–5 of 531

Venues

  1. International Journal of Architectural Computing

    IJAC · 12 publications · 392 citations

    12

    h-index

  2. Automation in Construction

    10 publications · 836 citations

    11

    h-index

  3. Journal of Mechanical Design

    9 publications · 761 citations

    9

    h-index

  4. Advanced Engineering Informatics

    8 publications · 581 citations

    9

    h-index

  5. Computer-Aided Design

    8 publications · 842 citations

    8

    h-index

1–5