Multiobjective Derivative-free Optimization

Multiobjective Derivative-Free Optimization is a subclass of optimization methodologies that addresses problems with multiple competing objectives in the absence of derivative information, distinguished by its reliance on direct evaluations of the objective functions to approximate the Pareto optimal set.

17

Publications

1.2K

Citations

55

Authors

30

Institutions

Publications per year

2017–2026

7

Authors

55

  1. MS
    Marco Sciandrone

    University of Florence, Italy

    2 publications · 101 citations

    2

    h-index

  2. SL
    Stefano Lucidi

    Sapienza University of Rome, Italy

    2 publications · 120 citations

    2

    h-index

  3. JM
    J.F.A. Madeira

    University of Lisbon, Portugal

    2 publications · 419 citations

    2

    h-index

  4. AL
    A. L. Custódio

    University of Lisbon, Portugal

    2 publications · 419 citations

    2

    h-index

  5. GL
    Giampaolo Liuzzi

    Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Italy

    2 publications · 83 citations

    2

    h-index

1–5 of 55

Venues

  1. SIAM Journal on Optimization

    2 publications · 437 citations

    2

    h-index

  2. Industrial & Engineering Chemistry Research

    2 publications · 74 citations

    2

    h-index

  3. IEEE Transactions on Power Electronics

    1 publications · 261 citations

    1

    h-index

  4. Soil Dynamics and Earthquake Engineering

    1 publications · 24 citations

    1

    h-index

  5. Computational Optimization and Applications

    1 publications · 32 citations

    1

    h-index

1–5