Constrained Derivative-free Optimization

Constrained Derivative-Free Optimization is a subclass of optimization methods that solve nonlinear optimization problems with explicit constraints without requiring gradient information, distinguishing itself by relying solely on function evaluations to navigate the feasible region.

85

Publications

4.2K

Citations

221

Authors

135

Institutions

Publications per year

2017–2026

31

Authors

221

  1. FR
    Francesco Rinaldi

    Sapienza University of Rome, Italy

    6 publications · 189 citations

    6

    h-index

  2. SL
    Stefano Lucidi

    Sapienza University of Rome, Italy

    6 publications · 235 citations

    6

    h-index

  3. GL
    Giampaolo Liuzzi

    Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Italy

    5 publications · 163 citations

    5

    h-index

  4. CA
    Charles Audet

    Polytechnique Montréal, Canada

    5 publications · 431 citations

    5

    h-index

  5. AL
    Alison L. Marsden

    Stanford University, United States

    3 publications · 262 citations

    3

    h-index

1–5 of 221

Venues

  1. Journal of Global Optimization

    6 publications · 359 citations

    6

    h-index

  2. Computational Optimization and Applications

    6 publications · 142 citations

    6

    h-index

  3. Journal of Petroleum Science and Engineering

    5 publications · 181 citations

    5

    h-index

  4. Computers & Chemical Engineering

    4 publications · 107 citations

    4

    h-index

  5. 4

    h-index

1–5