Evolutionary Design

Evolutionary Design is a computational design methodology that applies evolutionary algorithms to iteratively generate and optimize design solutions by evolving populations of candidate designs through mechanisms of variation and selection.

2.5K

Publications

110K

Citations

5.7K

Authors

1.7K

Institutions

Publications per year

2017–2026

437

Authors

5.7K

  1. LS
    Lukáš Sekanina

    Brno University of Technology, Czechia

    23 publications · 617 citations

    17

    h-index

  2. IC
    Ian C. Parmee

    University of the West of England, United Kingdom

    22 publications · 711 citations

    16

    h-index

  3. JT
    Julian Togelius

    New York University, United States

    14 publications · 677 citations

    13

    h-index

  4. XY
    Xin Yao

    University of Birmingham, United Kingdom

    14 publications · 717 citations

    13

    h-index

  5. ZV
    Zdeněk Vašíček

    Brno University of Technology, Czechia

    14 publications · 381 citations

    12

    h-index

1–5 of 5.7K

Venues

  1. IEEE Transactions on Evolutionary Computation

    39 publications · 5.5K citations

    30

    h-index

  2. IEEE Transactions on Magnetics

    26 publications · 1.2K citations

    20

    h-index

  3. Engineering Optimization

    30 publications · 1.8K citations

    19

    h-index

  4. IEEE Access

    22 publications · 796 citations

    19

    h-index

  5. IEEE Transactions on Antennas and Propagation

    22 publications · 2.1K citations

    17

    h-index

1–5

See also

Evolutionary Design

Core Methods

Applications

Evaluation

Variants

Limitations