Finite Domain Constraint Programming

Finite Domain Constraint Programming is a constraint programming paradigm in which variables are assigned finite sets of integer values and constraints restrict the allowable combinations of values, distinguishing it by its focus on discrete, bounded domains for solving combinatorial problems.

42

Publications

1.4K

Citations

77

Authors

49

Institutions

Publications per year

2017–2026

2

Authors

77

  1. NZ
    Neng‐Fa Zhou

    Brooklyn College, United States

    4 publications · 119 citations

    4

    h-index

  2. EP
    Enrico Pontelli

    New Mexico State University, United States

    4 publications · 92 citations

    4

    h-index

  3. AD
    Agostino Dovier

    University of Udine, Italy

    4 publications · 92 citations

    4

    h-index

  4. DD
    Daniel Díaz

    Université Paris 1 Panthéon-Sorbonne, France

    3 publications · 79 citations

    3

    h-index

  5. AF
    Andrea Formisano

    University of Perugia, Italy

    3 publications · 72 citations

    3

    h-index

1–5 of 77

Venues

  1. Theory and Practice of Logic Programming

    7 publications · 238 citations

    7

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  2. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 4 publications · 57 citations

    4

    h-index

  3. Artificial Intelligence

    2 publications · 59 citations

    2

    h-index

  4. Lirias (KU Leuven)

    Repository · 1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5