Multistage Robust Optimization

Multistage Robust Optimization is a decision-making framework within robust optimization that, unlike single-stage counterparts, sequentially adapts to uncertain parameters revealed over multiple stages while guaranteeing feasibility for all realizations within a predefined uncertainty set.

119

Publications

9.7K

Citations

255

Authors

135

Institutions

Publications per year

2017–2026

80

Variants

Multi-stage Robust Optimization

Authors

255

  1. DB
    Dimitris Bertsimas

    Massachusetts Institute of Technology, United States

    10 publications · 3.3K citations

    10

    h-index

  2. WW
    Wolfram Wiesemann

    Imperial College London, United Kingdom

    4 publications · 270 citations

    4

    h-index

  3. CN
    Chao Ning

    Cornell University, United States

    4 publications · 198 citations

    4

    h-index

  4. NA
    Nima Amjady

    Semnan University, Iran

    3 publications · 279 citations

    3

    h-index

  5. ÁL
    Álvaro Lorca

    Pontificia Universidad Católica de Chile, Chile

    3 publications · 299 citations

    3

    h-index

1–5 of 255

Venues

  1. Operations Research

    11 publications · 1.1K citations

    11

    h-index

  2. IEEE Transactions on Power Systems

    7 publications · 445 citations

    9

    h-index

  3. Mathematical Programming

    4 publications · 267 citations

    5

    h-index

  4. European Journal of Operational Research

    4 publications · 103 citations

    5

    h-index

  5. Energy

    4 publications · 243 citations

    4

    h-index

1–5