Evolutionary Structural Design

Evolutionary Structural Design is a computational design methodology within evolutionary architecture that systematically generates and optimizes architectural configurations through iterative processes inspired by biological evolution, distinguishing itself by its integration of genetic algorithms, adaptability to changing environmental constraints, and capacity for emergent structural form-finding.

132

Publications

7.3K

Citations

304

Authors

122

Institutions

Publications per year

2017–2026

29

Authors

304

  1. GP
    Grant P. Steven

    The University of Sydney, Australia

    16 publications · 927 citations

    15

    h-index

  2. YM
    Yi Min Xie

    RMIT University, Australia

    16 publications · 1.1K citations

    14

    h-index

  3. OM
    Osvaldo M. Querin

    University of Leeds, United Kingdom

    6 publications · 394 citations

    6

    h-index

  4. TA
    Tomasz Arciszewski

    George Mason University, United States

    6 publications · 536 citations

    6

    h-index

  5. QL
    Qing Li

    The University of Sydney, Australia

    6 publications · 485 citations

    6

    h-index

1–5 of 304

Venues

  1. Structural and Multidisciplinary Optimization

    10 publications · 503 citations

    10

    h-index

  2. Computers & Structures

    9 publications · 919 citations

    9

    h-index

  3. 6

    h-index

  4. Automation in Construction

    4 publications · 289 citations

    4

    h-index

  5. Finite Elements in Analysis and Design

    4 publications · 125 citations

    4

    h-index

1–5