Generative Design Exploration

Generative Design Exploration is a computational design methodology that systematically generates and evaluates a vast array of design alternatives through algorithmic processes, distinguished by its integration of generative algorithms, performance simulations, and evolutionary principles to autonomously explore and optimize solutions within a defined parameter space.

72

Publications

3.1K

Citations

188

Authors

81

Institutions

Publications per year

2017–2026

50

Authors

188

  1. RS
    Rudi Stouffs

    National University of Singapore, Singapore

    4 publications · 50 citations

    4

    h-index

  2. WC
    Wei Chen

    Northwestern University, United States

    3 publications · 138 citations

    4

    h-index

  3. TG
    Tovi Grossman

    Autodesk (Canada), Canada

    2 publications · 202 citations

    2

    h-index

  4. FA
    Faez Ahmed

    Massachusetts Institute of Technology, United States

    1 publications · 67 citations

    2

    h-index

  5. JC
    Jielin Chen

    Yeungnam University, South Korea

    2 publications · 24 citations

    2

    h-index

1–5 of 188

Venues

  1. Journal of Mechanical Design

    8 publications · 647 citations

    8

    h-index

  2. 3

    h-index

  3. International Journal of Architectural Computing

    IJAC · 3 publications · 43 citations

    3

    h-index

  4. Automation in Construction

    2 publications · 70 citations

    3

    h-index

  5. Advanced Engineering Informatics

    3 publications · 186 citations

    3

    h-index

1–5