Interactive Fitness Evaluation

Interactive Fitness Evaluation is a fitness assessment method in evolutionary computation where human judgment or interaction constitutes the primary criterion for evaluating solution quality, distinguishing it from automated or purely algorithmic fitness functions.

9

Publications

214

Citations

20

Authors

9

Institutions

Publications per year

2017–2026

0

Authors

20

  1. JI
    Jun‐ichi Imai

    Fukushima Medical University, Japan

    2 publications · 34 citations

    2

    h-index

  2. MF
    Makoto Fukumoto

    Nagoya City University, Japan

    2 publications · 34 citations

    2

    h-index

  3. KQ
    Kameel Quatramaran

    1 publications · 79 citations

    1

    h-index

  4. SC
    Sung‐Bae Cho

    Yonsei University, South Korea

    1 publications · 30 citations

    1

    h-index

  5. TC
    Travis C. Service

    Vanderbilt University, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 20

Venues

  1. 1

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  2. The MIT Press eBooks

    Ebook platform · 1 publications · 79 citations

    1

    h-index

1–2