Generative Design Simulation

Generative Design Simulation is a computational design method that autonomously explores and optimizes a vast solution space through iterative simulation-driven feedback loops, distinguishing itself by integrating generative algorithms with physics-based or performance-based simulation to synthesize high-performing design alternatives according to defined constraints and objectives.

36

Publications

1.6K

Citations

124

Authors

53

Institutions

Publications per year

2017–2026

30

Authors

124

  1. YW
    Yingqi Wang

    Chinese Academy of Sciences, China

    2 publications · 111 citations

    2

    h-index

  2. CS
    Conrad S. Tucker

    Pennsylvania State University, United States

    2 publications · 121 citations

    2

    h-index

  3. MY
    Mijia Yang

    North Dakota State University, United States

    2 publications · 111 citations

    2

    h-index

  4. TW
    Timothy W. Simpson

    Pennsylvania State University, United States

    2 publications · 121 citations

    2

    h-index

  5. MA
    Michael A. Yukish

    Pennsylvania State University, United States

    2 publications · 121 citations

    2

    h-index

1–5 of 124

Venues

  1. Automation in Construction

    3 publications · 114 citations

    3

    h-index

  2. International Journal of Production Research

    2 publications · 94 citations

    2

    h-index

  3. Applied Sciences

    2 publications · 111 citations

    2

    h-index

  4. Journal of Mechanical Design

    2 publications · 125 citations

    2

    h-index

  5. 2

    h-index

1–5