Evolutionary Neural Design

Evolutionary Neural Design is a computational framework within evolutionary architecture that integrates principles of natural selection and neural network optimization to autonomously generate and refine artificial neural networks through iterative variation, evaluation, and selection processes.

52

Publications

3.5K

Citations

157

Authors

75

Institutions

Publications per year

2017–2026

15

Authors

157

  1. HB
    Hossein Bonakdari

    Razi University, Iran

    3 publications · 192 citations

    3

    h-index

  2. HA
    Hamed Azimi

    Razi University, Iran

    2 publications · 167 citations

    2

    h-index

  3. BG
    Bahram Gharabaghi

    University of Guelph, Canada

    2 publications · 108 citations

    2

    h-index

  4. KB
    Karthik Balakrishnan

    Stanford University, United States

    2 publications · 113 citations

    2

    h-index

  5. AJ
    Ali Jamali

    University of Guilan, Iran

    2 publications · 153 citations

    2

    h-index

1–5 of 157

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 28 citations

    2

    h-index

  2. 2

    h-index

  3. Neural Computing and Applications

    2 publications · 118 citations

    2

    h-index

  4. IEEE Transactions on Evolutionary Computation

    2 publications · 85 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 55 citations

    2

    h-index

1–5