Algorithmic Form Generation

Algorithmic Form Generation is a computational design methodology within generative and parametric design that systematically produces architectural or geometric forms through rule-based algorithms governed by specified parameters and procedural logic, distinguishing it from manual or intuition-based form-making by its reliance on encoded, repeatable, and often iterative processes.

54

Publications

2K

Citations

127

Authors

71

Institutions

Publications per year

2017–2026

10

Authors

127

  1. BK
    Branko Kolarevic

    University of Calgary, Canada

    2 publications · 46 citations

    2

    h-index

  2. MJ
    Magesh Jayapandian

    University of Michigan, United States

    2 publications · 62 citations

    2

    h-index

  3. JC
    Jonathan Cagan

    Carnegie Mellon University, United States

    2 publications · 66 citations

    2

    h-index

  4. SZ
    Shahriman Zainal Abidin

    Universiti Teknologi MARA, Malaysia

    2 publications · 79 citations

    2

    h-index

  5. AL
    André Liem

    Norwegian University of Science and Technology, Norway

    2 publications · 79 citations

    2

    h-index

1–5 of 127

Venues

  1. International Journal of Architectural Computing

    IJAC · 2 publications · 56 citations

    2

    h-index

  2. Nexus Network Journal

    NNJ · 2 publications · 33 citations

    2

    h-index

  3. Journal of Mechanical Design

    2 publications · 66 citations

    2

    h-index

  4. ACADIA quarterly

    2 publications · 28 citations

    2

    h-index

  5. International Journal of Solids and Structures

    2 publications · 132 citations

    2

    h-index

1–5