Concepedia

Uncertainty Quantification In Optimization

Uncertainty Quantification in Optimization is a methodological framework within stochastic and robust optimization that characterizes and propagates uncertainty in input parameters, models, or constraints to assess the reliability and variability of optimal solutions under uncertain conditions.

410

Publications

21K

Citations

981

Authors

405

Institutions

Publications per year

2017–2026

166

Parents

Publications

410

Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

Peyman Mohajerin Esfahani, Daniel Kühn · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2017 · 1.8K citations · Full text

, , +17

Optimization under uncertainty: state-of-the-art and opportunities

Nikolaos V. Sahinidis · Computers & Chemical Engineering · 2003 · 1.2K citations

, , +10

Computational methods in optimization considering uncertainties – An overview

G.I. Schuëller, H.A. Jensen · Computer Methods in Applied Mechanics and Engineering · 2008 · 564 citations · Full text

, , +11

Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

Rohit Tripathy, Ilias Bilionis · Journal of Computational Physics · 2018 · 473 citations · Full text

, , +13

Uncertainty models for stochastic optimization in renewable energy applications

Azrul Abidin Zakaria, Firas Basim Ismail, Molla Shahadat Hossain Lipu et al. · Renewable Energy · 2019 · 464 citations

, , +16

1–5 of 410

Authors

981

  1. HL
    Henry Lam

    Columbia University, United States

    10 publications · 238 citations

    10

    h-index

  2. FY
    Fengqi You

    Cornell University, United States

    6 publications · 675 citations

    6

    h-index

  3. SM
    Sankaran Mahadevan

    Vanderbilt University, United States

    6 publications · 155 citations

    6

    h-index

  4. DD
    Dick den Hertog

    Tilburg University, Netherlands

    6 publications · 264 citations

    6

    h-index

  5. LZ
    Liang Zhao

    East China University of Science and Technology, China

    5 publications · 191 citations

    5

    h-index

1–5 of 981

Institutions

405

  1. University of Michigan

    Ann Arbor, United States

    12 h-index

    19 publications

    622 citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    11 h-index

    25 publications

    2.3K citations

  3. Stanford University

    Stanford, United States

    11 h-index

    26 publications

    992 citations

  4. National University of Singapore

    Singapore, Singapore

    10 h-index

    16 publications

    773 citations

  5. Tsinghua University

    Beijing, China

    9 h-index

    13 publications

    562 citations

  6. Imperial College London

    London, United Kingdom

    9 h-index

    20 publications

    1.2K citations

  7. Georgia Institute of Technology

    Atlanta, United States

    8 h-index

    10 publications

    470 citations

  8. Virginia Tech

    Blacksburg, United States

    8 h-index

    21 publications

    406 citations

1–8 of 405

Venues

  1. Computers & Chemical Engineering

    18 publications · 2.5K citations

    16

    h-index

  2. 10

    h-index

  3. Industrial & Engineering Chemistry Research

    9 publications · 274 citations

    9

    h-index

  4. Mathematical Programming

    8 publications · 805 citations

    8

    h-index

  5. Applied Energy

    9 publications · 309 citations

    8

    h-index

1–5