Combinatorial Search

Combinatorial Search is a systematic computational method for exploring a discrete solution space by generating and testing candidate solutions according to constraints, distinguished from other search strategies by its focus on enumerating configurations drawn from combinatorial structures such as permutations, subsets, or tuples.

1.2K

Publications

110K

Citations

2.6K

Authors

960

Institutions

Publications per year

2017–2026

201

Authors

2.6K

  1. JH
    Jin‐Kao Hao

    Université d'Angers, France

    12 publications · 490 citations

    12

    h-index

  2. CJ
    Charles J. Colbourn

    Arizona State University, United States

    11 publications · 774 citations

    10

    h-index

  3. CP
    Carla P. Gomes

    Cornell University, United States

    8 publications · 866 citations

    9

    h-index

  4. FG
    Fred Glover

    University of Colorado Boulder, United States

    7 publications · 10.9K citations

    7

    h-index

  5. PV
    Pascal Van Hentenryck

    Brown University, United States

    7 publications · 408 citations

    7

    h-index

1–5 of 2.6K

Venues

  1. European Journal of Operational Research

    29 publications · 2.2K citations

    23

    h-index

  2. arXiv (Cornell University)

    Repository · 26 publications · 861 citations

    16

    h-index

  3. Computers & Operations Research

    17 publications · 1.2K citations

    15

    h-index

  4. Discrete Mathematics

    17 publications · 1.3K citations

    14

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 15 publications · 770 citations

    13

    h-index

1–5