Concepedia

Evolutionary Performance Generation

Evolutionary Performance Generation is a generative performance methodology that employs iterative selection and adaptation mechanisms inspired by biological evolution to autonomously synthesize or optimize performance artifacts.

3

Publications

68

Citations

8

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–3 of 3

Authors

8

  1. SL
    Sarah L. Hahn

    Natural Selection (United States), United States

    1 publications · 19 citations

    1

    h-index

  2. JQ
    James Quon

    Natural Selection (United States), United States

    1 publications · 19 citations

    1

    h-index

  3. MD
    Mark D. Sutton

    Imperial College London, United Kingdom

    1 publications · 20 citations

    1

    h-index

  4. DJ
    Dominic J. Bennett

    Imperial College London, United Kingdom

    1 publications · 20 citations

    1

    h-index

  5. ST
    Samuel T. Turvey

    Zoological Society of London, United Kingdom

    1 publications · 20 citations

    1

    h-index

1–5 of 8

Institutions

3

  1. Zoological Society of London

    London, United Kingdom

    1 h-index

    1 publications

    20 citations

  2. Imperial College London

    London, United Kingdom

    1 h-index

    2 publications

    40 citations

  3. University of the West of England

    Bristol, United Kingdom

    1 h-index

    1 publications

    29 citations

1–3 of 3

Venues

  1. Computational Intelligence and Games

    Conference · 1 publications · 19 citations

    1

    h-index

  2. Palaeontologia Electronica

    PE · 1 publications · 20 citations

    1

    h-index

  3. Artificial Life

    1 publications · 29 citations

    1

    h-index

1–3