Adaptive Design Generation

Adaptive Design Generation is a computational methodology within interactive generative design that dynamically modifies design parameters and structures in response to user input, environmental constraints, or performance feedback, thereby distinguishing itself from static or pre-defined generation approaches through its capacity for real-time, context-sensitive evolution.

15

Publications

709

Citations

51

Authors

30

Institutions

Publications per year

2017–2026

6

Authors

51

  1. JT
    Julian Togelius

    New York University, United States

    2 publications · 85 citations

    2

    h-index

  2. KZ
    Kamal Z. Zamli

    Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia

    1 publications · 49 citations

    1

    h-index

  3. VC
    Vincenzo Cannella

    University of Palermo, Italy

    1 publications · 30 citations

    1

    h-index

  4. PN
    Peter Nordin

    Sahlgrenska University Hospital, Sweden

    1 publications · 21 citations

    1

    h-index

  5. MH
    Martin Hemberg

    Wellcome Sanger Institute, United Kingdom

    1 publications · 21 citations

    1

    h-index

1–5 of 51

Venues

  1. Materials & Design

    1 publications · 60 citations

    1

    h-index

  2. IEEE Transactions on Games

    TG · 1 publications · 14 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Mechanical Design

    1 publications · 55 citations

    1

    h-index

  5. Journal of Biomedical Informatics

    1 publications · 30 citations

    1

    h-index

1–5