Concepedia

Noisy Optimization

Noisy Optimization is a derivative-free optimization paradigm in which the objective function evaluations are contaminated with random noise, distinguishing it from deterministic derivative-free methods by explicitly accounting for uncertainty in the observed function values.

410

Publications

22.5K

Citations

856

Authors

388

Institutions

Publications per year

2017–2026

153

Parents

Publications

410

A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems

René Thomsen · 2005 · 1.2K citations

, , +16

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Niranjan Srinivas, Andreas Krause, Sham M. Kakade et al. · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2009 · 1.1K citations · Full text

, , +16

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Niranjan Srinivas, Andreas Krause, Sham M. Kakade et al. · IEEE Transactions on Information Theory · 2012 · 964 citations · Full text

, , +15

Genetic algorithms, noise, and the sizing of populations

David E. Goldberg, Kalyanmoy Deb, James H. Clark · 1991 · 599 citations

, , +16

Benchmarking Derivative-Free Optimization Algorithms

Jorge J. Morè, Stefan M. Wild · SIAM Journal on Optimization · 2009 · 573 citations

, , +14

1–5 of 410

Authors

856

  1. AK
    Andreas Krause

    ETH Zurich, Switzerland

    10 publications · 2.5K citations

    10

    h-index

  2. HB
    Hans-Georg Beyer

    Vorarlberg University of Applied Sciences, Austria

    9 publications · 473 citations

    9

    h-index

  3. NH
    Nikolaus Hansen

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

    7 publications · 1.3K citations

    7

    h-index

  4. DC
    D.C. Chin

    Johns Hopkins University Applied Physics Laboratory, United States

    6 publications · 226 citations

    6

    h-index

  5. JM
    J.L. Maryak

    Johns Hopkins University Applied Physics Laboratory, United States

    6 publications · 226 citations

    6

    h-index

1–5 of 856

Institutions

388

  1. Johns Hopkins University Applied Physics Laboratory

    North Laurel, United States

    11 h-index

    16 publications

    546 citations

  2. TU Dortmund University

    Dortmund, Germany

    11 h-index

    23 publications

    1.3K citations

  3. ETH Zurich

    Zurich, Switzerland

    11 h-index

    27 publications

    1.4K citations

  4. Institut national de recherche en sciences et technologies du numérique

    Le Chesnay-Rocquencourt, France

    9 h-index

    24 publications

    2.2K citations

  5. University of Illinois Urbana-Champaign

    Urbana, United States

    8 h-index

    16 publications

    1.4K citations

  6. Nanjing University

    Nanjing, China

    7 h-index

    20 publications

    583 citations

  7. University of Wisconsin–Madison

    Madison, United States

    7 h-index

    15 publications

    592 citations

  8. Stanford University

    Stanford, United States

    6 h-index

    15 publications

    967 citations

1–8 of 388

Venues

  1. arXiv (Cornell University)

    Repository · 51 publications · 1.4K citations

    22

    h-index

  2. SIAM Journal on Optimization

    14 publications · 1.4K citations

    13

    h-index

  3. IEEE Transactions on Automatic Control

    11 publications · 786 citations

    11

    h-index

  4. Evolutionary Computation

    10 publications · 796 citations

    10

    h-index

  5. Winter Simulation Conference

    Conference · 6 publications · 132 citations

    6

    h-index

1–5