Derivative-free Optimization

Derivative-Free Optimization is an optimization methodology that seeks optimal solutions without requiring derivative information of the objective function, distinguishing it from gradient-based techniques by relying solely on function evaluations.

471

Publications

26.2K

Citations

951

Authors

456

Institutions

Publications per year

2017–2026

172

Authors

951

  1. SL
    Stefano Lucidi

    Sapienza University of Rome, Italy

    16 publications · 726 citations

    15

    h-index

  2. KS
    Katya Scheinberg

    Lehigh University, United States

    13 publications · 1.3K citations

    12

    h-index

  3. AH
    Abdulkarim Hassan Ibrahim

    King Mongkut's University of Technology Thonburi, Thailand

    12 publications · 298 citations

    12

    h-index

  4. GL
    Giampaolo Liuzzi

    Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Italy

    12 publications · 474 citations

    12

    h-index

  5. AB
    Auwal Bala Abubakar

    Bayero University Kano, Nigeria

    13 publications · 324 citations

    12

    h-index

1–5 of 951

Venues

  1. SIAM Journal on Optimization

    32 publications · 2.7K citations

    26

    h-index

  2. Optimization methods & software

    26 publications · 725 citations

    17

    h-index

  3. arXiv (Cornell University)

    Repository · 30 publications · 1.5K citations

    17

    h-index

  4. Computational Optimization and Applications

    12 publications · 351 citations

    12

    h-index

  5. Optimization

    11 publications · 328 citations

    11

    h-index

1–5