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

Authors

45

  1. CM
    Christopher McComb

    Carnegie Mellon University, United States

    4 publications · 130 citations

    4

    h-index

  2. AR
    Ayush Raina

    Carnegie Mellon University, United States

    4 publications · 130 citations

    4

    h-index

  3. JC
    Jonathan Cagan

    Carnegie Mellon University, United States

    4 publications · 130 citations

    4

    h-index

  4. SV
    Sebastian von Mammen

    University of Augsburg, Germany

    3 publications · 75 citations

    3

    h-index

  5. CJ
    Christian Jacob

    University of Calgary, Canada

    3 publications · 75 citations

    3

    h-index

1–5 of 45

Venues

  1. Journal of Mechanical Design

    3 publications · 120 citations

    3

    h-index

  2. Architectural Design

    AD · 1 publications · 27 citations

    1

    h-index

  3. ChemRxiv

    Repository · 1 publications · 12 citations

    1

    h-index

  4. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 1 publications · 30 citations

    1

    h-index

  5. Digital Discovery

    1 publications · 89 citations

    1

    h-index

1–5