Fitness Function Calibration

Fitness Function Calibration is a methodological process within evolutionary computation that systematically adjusts the parameters or structure of a fitness function to align its evaluation criteria with the optimization objectives, thereby ensuring accurate and efficient selection pressure toward optimal solutions.

17

Publications

1.3K

Citations

61

Authors

36

Institutions

Publications per year

2017–2026

3

Authors

61

  1. AE
    A. E. Eiben

    Vrije Universiteit Amsterdam, Netherlands

    2 publications · 304 citations

    2

    h-index

  2. VN
    Volker Nannen

    Vrije Universiteit Amsterdam, Netherlands

    2 publications · 304 citations

    2

    h-index

  3. DZ
    Dominik Ziegler

    Lawrence Berkeley National Laboratory, United States

    1 publications · 31 citations

    1

    h-index

  4. PD
    Paul D. Ashby

    Lawrence Berkeley National Laboratory, United States

    1 publications · 31 citations

    1

    h-index

  5. GI
    Giulio Iovine

    Research Institute for Geo-Hydrological Protection, Italy

    1 publications · 17 citations

    1

    h-index

1–5 of 61

Venues

  1. Expert Systems with Applications

    1 publications · 32 citations

    1

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  2. 1

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  3. Real-Time Systems

    1 publications · 17 citations

    1

    h-index

  4. SpringerPlus

    1 publications · 20 citations

    1

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  5. Pattern Recognition

    1 publications · 81 citations

    1

    h-index

1–5