Human-in-the-loop Evolution

Human-in-the-Loop Evolution is an evolutionary computation paradigm in which human evaluators directly guide the selection or variation processes of generative systems, distinguishing it from fully automated evolutionary algorithms by incorporating subjective human judgment as an integral component of the evolutionary feedback loop.

20

Publications

780

Citations

79

Authors

33

Institutions

Publications per year

2017–2026

13

Variants

Interactive Evolutionary Computation

Authors

79

  1. TP
    Thomas Prévôt

    Ames Research Center, United States

    2 publications · 41 citations

    2

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  2. DG
    Deniz Gezerli

    Max Planck Institute for Human Development, Germany

    2 publications · 29 citations

    2

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  3. LB
    Levin Brinkmann

    Max Planck Institute for Human Development, Germany

    2 publications · 29 citations

    2

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  4. SK
    Subbarao Kambhampati

    Arizona State University, United States

    2 publications · 89 citations

    2

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  5. TC
    Tathagata Chakraborti

    Arizona State University, United States

    2 publications · 89 citations

    2

    h-index

1–5 of 79

Venues

  1. IFAC-PapersOnLine

    1 publications · 12 citations

    1

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  2. Procedia Computer Science

    1 publications · 25 citations

    1

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  3. arXiv (Cornell University)

    Repository · 1 publications · 19 citations

    1

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  4. 1

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  5. BioData Mining

    1 publications · 24 citations

    1

    h-index

1–5