Concepedia

Constraint Robustification

Constraint Robustification is a methodological framework in robust optimization that systematically strengthens constraints to remain feasible under uncertain parameter variations by incorporating worst-case scenario adjustments directly into the constraint formulation.

3

Publications

54

Citations

5

Authors

3

Institutions

Publications per year

2017–2026

3

Parents

Publications

3

1–3 of 3

Authors

5

  1. XL
    Xiaojun Lin

    Purdue University West Lafayette, United States

    2 publications · 40 citations

    2

    h-index

  2. MS
    Ming Shi

    North Carolina State University, United States

    2 publications · 40 citations

    2

    h-index

  3. SF
    Sonia Fahmy

    Purdue University West Lafayette, United States

    2 publications · 40 citations

    2

    h-index

  4. MT
    Masahiro Tomono

    Chiba Institute of Technology, Japan

    1 publications · 14 citations

    1

    h-index

  5. DS
    Donghoon Shin

    Sookmyung Women's University, South Korea

    1 publications · 23 citations

    1

    h-index

1–5 of 5

Institutions

3

  1. Purdue University West Lafayette

    West Lafayette, United States

    2 h-index

    4 publications

    74 citations

  2. AT&T (United States)

    Bedminster, United States

    1 h-index

    1 publications

    23 citations

  3. Chiba Institute of Technology

    Narashino, Japan

    1 h-index

    1 publications

    14 citations

1–3 of 3

Venues

  1. Advanced Robotics

    1 publications · 14 citations

    1

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 1 publications · 17 citations

    1

    h-index

1–2