Set Cover Problem

The Set Cover Problem is a combinatorial optimization problem in which the objective is to identify the smallest subcollection of a given family of sets whose union equals a specified universe of elements, distinguishing it from other covering problems by its focus on minimizing the number of sets while ensuring full coverage.

985

Publications

57.3K

Citations

1.9K

Authors

834

Institutions

Publications per year

2017–2026

143

Authors

1.9K

  1. WZ
    William Zhu

    Minnan Normal University, China

    11 publications · 2.4K citations

    11

    h-index

  2. YW
    Yiyuan Wang

    Northeast Normal University, China

    10 publications · 222 citations

    10

    h-index

  3. BC
    Broderick Crawford

    Pontificia Universidad Católica de Valparaíso, Chile

    10 publications · 337 citations

    10

    h-index

  4. RS
    Ricardo Soto

    Pontificia Universidad Católica de Valparaíso, Chile

    10 publications · 337 citations

    10

    h-index

  5. MY
    Minghao Yin

    Northeast Normal University, China

    10 publications · 258 citations

    10

    h-index

1–5 of 1.9K

Venues

  1. European Journal of Operational Research

    35 publications · 2.7K citations

    24

    h-index

  2. Information Sciences

    25 publications · 3.5K citations

    21

    h-index

  3. Computers & Operations Research

    21 publications · 925 citations

    18

    h-index

  4. Theoretical Computer Science

    28 publications · 1.1K citations

    18

    h-index

  5. Information Processing Letters

    24 publications · 1.2K citations

    18

    h-index

1–5