Evolutionary Design Automation

Evolutionary Design Automation is a computational methodology within evolutionary product design that systematically leverages evolutionary algorithms to iteratively generate, evaluate, and refine design solutions through automated selection, variation, and adaptation mechanisms guided by performance criteria and design constraints.

64

Publications

2.4K

Citations

191

Authors

83

Institutions

Publications per year

2017–2026

9

Authors

191

  1. GS
    Gregory S. Hornby

    Ames Research Center, United States

    4 publications · 291 citations

    4

    h-index

  2. JL
    Jason Lohn

    Ames Research Center, United States

    3 publications · 223 citations

    3

    h-index

  3. CA
    Carlos A. Coello Coello

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    2 publications · 87 citations

    2

    h-index

  4. LS
    Lukáš Sekanina

    Brno University of Technology, Czechia

    2 publications · 88 citations

    2

    h-index

  5. KK
    Klaus Kabitzsch

    Technische Universität Dresden, Germany

    2 publications · 39 citations

    2

    h-index

1–5 of 191

Venues

  1. IEEE Transactions on Evolutionary Computation

    3 publications · 196 citations

    3

    h-index

  2. 2

    h-index

  3. Neural Computing and Applications

    2 publications · 71 citations

    2

    h-index

  4. Mechatronics

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5