Generative Design

Generative design is a computational design process in which algorithms iteratively generate multiple design solutions constrained by designer-specified parameters and performance objectives.

1.6K

Publications

76.3K

Citations

4.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

892

Authors

4.6K

  1. JT
    Julian Togelius

    New York University, United States

    18 publications · 845 citations

    16

    h-index

  2. GS
    Gillian Smith

    University of California, Santa Cruz, United States

    13 publications · 645 citations

    12

    h-index

  3. MM
    Michael Mateas

    University of California, Santa Cruz, United States

    12 publications · 853 citations

    12

    h-index

  4. JD
    José Duarte

    Pennsylvania State University, United States

    14 publications · 604 citations

    12

    h-index

  5. RB
    Rafael Bidarra

    Delft University of Technology, Netherlands

    13 publications · 430 citations

    11

    h-index

1–5 of 4.6K

Venues

  1. ACM Transactions on Graphics

    TOG · 49 publications · 4.3K citations

    37

    h-index

  2. arXiv (Cornell University)

    Repository · 80 publications · 2.8K citations

    27

    h-index

  3. Automation in Construction

    29 publications · 2.3K citations

    23

    h-index

  4. Journal of Mechanical Design

    32 publications · 1.6K citations

    22

    h-index

  5. International Journal of Architectural Computing

    IJAC · 29 publications · 1.3K citations

    19

    h-index

1–5

See also

Generative Design

Core Methods

Applications

Evaluation

Limitations

Variants