Adaptive Real-time Optimization

Adaptive Real-Time Optimization is a real-time optimization method that dynamically adjusts its operational parameters and decision-making strategies in response to evolving system conditions or environmental uncertainties, distinguishing itself from static or pre-defined optimization approaches by incorporating continuous learning and feedback adaptation mechanisms.

69

Publications

3.3K

Citations

229

Authors

109

Institutions

Publications per year

2017–2026

34

Authors

229

  1. DB
    Dominique Bonvin

    École Polytechnique Fédérale de Lausanne, Switzerland

    9 publications · 707 citations

    9

    h-index

  2. AM
    A.G. Marchetti

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 317 citations

    5

    h-index

  3. BC
    Benoît Chachuat

    Imperial College London, United Kingdom

    5 publications · 520 citations

    5

    h-index

  4. GF
    Grégory François

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 260 citations

    4

    h-index

  5. JM
    José Matias

    Norwegian University of Science and Technology, Norway

    4 publications · 73 citations

    4

    h-index

1–5 of 229

Venues

  1. Computers & Chemical Engineering

    7 publications · 468 citations

    7

    h-index

  2. Journal of Process Control

    5 publications · 244 citations

    5

    h-index

  3. Industrial & Engineering Chemistry Research

    5 publications · 135 citations

    5

    h-index

  4. Processes

    3 publications · 310 citations

    3

    h-index

  5. IFAC-PapersOnLine

    2 publications · 49 citations

    2

    h-index

1–5