Generative Housing Design

Generative Housing Design is a computational design methodology within generative architecture that systematically synthesizes housing configurations through algorithmic rule-sets and performance criteria to produce context-responsive, iterative dwelling solutions.

6

Publications

194

Citations

8

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

8

  1. YL
    Yong-Cheol Lee

    Louisiana State University, United States

    2 publications · 109 citations

    2

    h-index

  2. PG
    Pedram Ghannad

    Louisiana State University, United States

    2 publications · 109 citations

    2

    h-index

  3. MS
    M. Selen ABBASOĞLU ERMİYAGİL

    European University of Lefke, Türkiye

    1 publications · 13 citations

    1

    h-index

  4. JH
    Jeff Heisserman

    Boeing (United States), United States

    1 publications · 52 citations

    1

    h-index

  5. JC
    Joseph Chuen-huei Huang

    Illinois Institute of Technology, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 8

Venues

  1. eCAADe proceedings

    2 publications · 20 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Automation in Construction

    1 publications · 88 citations

    1

    h-index

  5. 1

    h-index

1–5