Column Generation

Column Generation is a decomposition-based iterative optimization method that belongs to the class of linear programming solution techniques, distinguished by its strategy of dynamically generating only the columns (variables) of a large-scale integer or linear program that are likely to improve the objective function, thereby solving problems with an enormous number of variables by considering a restricted subset at a time.

980

Publications

62.3K

Citations

2K

Authors

788

Institutions

Publications per year

2017–2026

261

Authors

2K

  1. JD
    Jacques Desrosiers

    HEC Montréal, Canada

    23 publications · 4.8K citations

    21

    h-index

  2. GD
    Guy Desaulniers

    Polytechnique Montréal, Canada

    20 publications · 1.9K citations

    17

    h-index

  3. BJ
    Brigitte Jaumard

    Concordia University, Canada

    22 publications · 469 citations

    14

    h-index

  4. FS
    François Soumis

    Polytechnique Montréal, Canada

    15 publications · 2K citations

    14

    h-index

  5. FV
    François Vanderbeck

    Institut de Mathématiques de Bordeaux, France

    13 publications · 1.4K citations

    13

    h-index

1–5 of 2K

Venues

  1. Transportation Science

    90 publications · 9.2K citations

    54

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  2. Operations Research

    49 publications · 12.1K citations

    38

    h-index

  3. INFORMS journal on computing

    54 publications · 3.7K citations

    32

    h-index

  4. European Journal of Operational Research

    56 publications · 3.2K citations

    30

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  5. Computers & Operations Research

    41 publications · 2.2K citations

    26

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1–5