Evolutionary Floor Plan Generation

Evolutionary Floor Plan Generation is a computational design methodology within evolutionary architecture that employs iterative, population-based optimization algorithms to automatically generate and refine architectural floor plans according to performance criteria, constraints, and emergent spatial logics.

13

Publications

319

Citations

39

Authors

15

Institutions

Publications per year

2017–2026

5

Authors

39

  1. CD
    Colin Day

    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany

    1 publications · 10 citations

    1

    h-index

  2. JH
    John Haymaker

    Stanford University, United States

    1 publications · 10 citations

    1

    h-index

  3. CL
    Christoph Langenhan

    Technical University of Munich, Germany

    1 publications · 17 citations

    1

    h-index

  4. KG
    Katarzyna Grzesiak-Kopeć

    Jagiellonian University, Poland

    1 publications · 15 citations

    1

    h-index

  5. VE
    Viktor Eisenstadt

    University of Hildesheim, Germany

    1 publications · 17 citations

    1

    h-index

1–5 of 39

Venues

  1. Automation in Construction

    1 publications · 47 citations

    1

    h-index

  2. International Journal of Architectural Computing

    IJAC · 1 publications · 36 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Evolutionary Computation

    1 publications · 36 citations

    1

    h-index

  5. Applied Sciences

    1 publications · 15 citations

    1

    h-index

1–5