Quality Diversity

Quality Diversity is a computational optimization paradigm that, as opposed to traditional single-objective approaches, emphasizes the discovery of a diverse collection of high-performing solutions across a behaviorally distinct feature space.

49

Publications

2.3K

Citations

93

Authors

43

Institutions

Publications per year

2017–2026

40

Variants

Quality-diversity

Authors

93

  1. SN
    Stefanos Nikolaidis

    University of Southern California, United States

    10 publications · 229 citations

    10

    h-index

  2. MC
    Matthew C. Fontaine

    University of Southern California, United States

    10 publications · 229 citations

    10

    h-index

  3. JT
    Julian Togelius

    New York University, United States

    6 publications · 276 citations

    6

    h-index

  4. KO
    Kenneth O. Stanley

    University of Central Florida, United States

    5 publications · 931 citations

    5

    h-index

  5. AK
    Amy K. Hoover

    New Jersey Institute of Technology, United States

    3 publications · 82 citations

    3

    h-index

1–5 of 93

Venues

  1. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 14 publications · 360 citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 170 citations

    4

    h-index

  3. IEEE Transactions on Evolutionary Computation

    3 publications · 70 citations

    3

    h-index

  4. 2

    h-index

  5. 2019 IEEE Conference on Games (CoG)

    Conference · 2 publications · 183 citations

    2

    h-index

1–5