Massing Optimization

Massing Optimization is a computational design method that systematically refines the three-dimensional form and spatial configuration of architectural volumes to achieve performance-driven objectives while adhering to site-specific constraints and urban design criteria.

9

Publications

237

Citations

15

Authors

7

Institutions

Publications per year

2017–2026

6

Authors

15

  1. LW
    Likai Wang

    Nanjing University, China

    4 publications · 96 citations

    4

    h-index

  2. KW
    Kian Wee Chen

    Princeton University, United States

    3 publications · 70 citations

    3

    h-index

  3. CR
    Christoph Reinhart

    Massachusetts Institute of Technology, United States

    2 publications · 53 citations

    2

    h-index

  4. GJ
    Guohua Ji

    Harbin Medical University, China

    2 publications · 36 citations

    2

    h-index

  5. PJ
    Patrick Janssen

    National University of Singapore, Singapore

    2 publications · 46 citations

    2

    h-index

1–5 of 15

Venues

  1. 2

    h-index

  2. International Journal of Architectural Computing

    IJAC · 2 publications · 43 citations

    2

    h-index

  3. eCAADe proceedings

    1 publications · 12 citations

    1

    h-index

  4. Building Simulation Conference proceedings

    Conference · 1 publications · 31 citations

    1

    h-index

  5. Proceedings of SimBuild

    1 publications · 22 citations

    1

    h-index

1–5