Evolutionary Design Synthesis

Evolutionary Design Synthesis is a computational design methodology that integrates evolutionary algorithms with generative processes to iteratively explore, evaluate, and refine design solutions through variation, selection, and adaptation mechanisms inspired by biological evolution.

137

Publications

4.5K

Citations

334

Authors

167

Institutions

Publications per year

2017–2026

21

Authors

334

  1. AB
    Adrian Bejan

    Duke University, United States

    4 publications · 77 citations

    4

    h-index

  2. ED
    Erik D. Goodman

    Michigan State University, United States

    4 publications · 69 citations

    4

    h-index

  3. MB
    Michal Bidlo

    Brno University of Technology, Czechia

    4 publications · 64 citations

    4

    h-index

  4. AS
    Adrian Stoica

    Jet Propulsion Laboratory, United States

    3 publications · 195 citations

    3

    h-index

  5. AM
    A. Mesquita

    Universidade Federal do Rio de Janeiro, Brazil

    3 publications · 46 citations

    3

    h-index

1–5 of 334

Venues

  1. Applied Soft Computing

    5 publications · 127 citations

    5

    h-index

  2. 5

    h-index

  3. Mechanism and Machine Theory

    4 publications · 394 citations

    4

    h-index

  4. IEEE Transactions on Evolutionary Computation

    4 publications · 197 citations

    4

    h-index

  5. 3

    h-index

1–5