Heuristic Tuning

Heuristic Tuning is a controller tuning method that relies on经验-based rules or intuitive guidelines derived from practical expertise and observational knowledge rather than rigorous mathematical optimization or systematic identification of system dynamics.

126

Publications

5.8K

Citations

373

Authors

181

Institutions

Publications per year

2017–2026

55

Authors

373

  1. DB
    Domagoj Babić

    University of British Columbia, Canada

    3 publications · 169 citations

    3

    h-index

  2. HH
    Holger H. Hoos

    University of British Columbia, Canada

    3 publications · 169 citations

    3

    h-index

  3. FH
    Frank Hutter

    University of Freiburg, Germany

    3 publications · 169 citations

    3

    h-index

  4. SE
    Serdar Ekinci

    Batman University, Türkiye

    3 publications · 143 citations

    3

    h-index

  5. AJ
    Alan J. Hu

    University of British Columbia, Canada

    3 publications · 169 citations

    3

    h-index

1–5 of 373

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 50 citations

    4

    h-index

  2. Energies

    3 publications · 106 citations

    3

    h-index

  3. Applied Sciences

    3 publications · 88 citations

    3

    h-index

  4. 2

    h-index

  5. Expert Systems with Applications

    2 publications · 74 citations

    2

    h-index

1–5