Adaptive Optimization

Adaptive Optimization is a stochastic optimization method that iteratively adjusts its update rules based on accumulated gradient information to improve convergence properties in non-stationary or ill-conditioned landscapes.

1.3K

Publications

96.7K

Citations

3.6K

Authors

1.2K

Institutions

Publications per year

2017–2026

571

Authors

3.6K

  1. EB
    Elias B. Kosmatopoulos

    Democritus University of Thrace, Greece

    20 publications · 653 citations

    14

    h-index

  2. NH
    Nikolaus Hansen

    Institut national de recherche en sciences et technologies du numérique, France

    10 publications · 2.3K citations

    10

    h-index

  3. CA
    Charles Audet

    Polytechnique Montréal, Canada

    9 publications · 808 citations

    9

    h-index

  4. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    8 publications · 1.7K citations

    8

    h-index

  5. IY
    Isao Yamada

    Kyoto University, Japan

    7 publications · 376 citations

    7

    h-index

1–5 of 3.6K

Venues

  1. arXiv (Cornell University)

    Repository · 104 publications · 7.5K citations

    37

    h-index

  2. IEEE Access

    26 publications · 857 citations

    18

    h-index

  3. SIAM Journal on Optimization

    14 publications · 1.3K citations

    14

    h-index

  4. Applied Soft Computing

    15 publications · 1.5K citations

    14

    h-index

  5. Information Sciences

    14 publications · 1.3K citations

    14

    h-index

1–5