Computational Design Exploration

Computational Design Exploration is a computational methodology within generative design optimization that systematically investigates and navigates the space of possible design solutions using algorithmic and simulation-driven processes to identify high-performing configurations according to predefined criteria.

228

Publications

10.9K

Citations

787

Authors

311

Institutions

Publications per year

2017–2026

106

Authors

787

  1. MT
    Michela Turrin

    Delft University of Technology, Netherlands

    4 publications · 519 citations

    4

    h-index

  2. RS
    Rudi Stouffs

    National University of Singapore, Singapore

    4 publications · 430 citations

    4

    h-index

  3. MS
    Martin Schulz

    Lawrence Livermore National Laboratory, United States

    4 publications · 441 citations

    4

    h-index

  4. Eİ
    Engin İpek

    University of Rochester, United States

    4 publications · 441 citations

    4

    h-index

  5. SA
    Sally A. McKee

    Cornell University, United States

    4 publications · 441 citations

    4

    h-index

1–5 of 787

Venues

  1. Journal of Mechanical Design

    9 publications · 704 citations

    9

    h-index

  2. International Journal of Architectural Computing

    IJAC · 7 publications · 180 citations

    7

    h-index

  3. Automation in Construction

    7 publications · 227 citations

    7

    h-index

  4. ACM Transactions on Graphics

    TOG · 5 publications · 515 citations

    5

    h-index

  5. 4

    h-index

1–5