Mixed-integer Constraint Handling

Mixed-Integer Constraint Handling is a constraint handling paradigm that specifically addresses optimization problems involving both discrete (integer) and continuous variables, distinguished by its integration of techniques to manage the combinatorial complexity of integer constraints alongside the functional constraints of continuous spaces.

11

Publications

687

Citations

34

Authors

19

Institutions

Publications per year

2017–2026

9

Authors

34

  1. YF
    Yi Fang

    Shantou University, China

    2 publications · 441 citations

    2

    h-index

  2. YY
    Yugen You

    Shantou University, China

    2 publications · 441 citations

    2

    h-index

  3. ED
    Erik D. Goodman

    Michigan State University, United States

    2 publications · 441 citations

    2

    h-index

  4. HH
    Han Huang

    South China University of Technology, China

    2 publications · 441 citations

    2

    h-index

  5. ZF
    Zhun Fan

    Shantou University, China

    2 publications · 441 citations

    2

    h-index

1–5 of 34

Venues

  1. Soft Computing

    2 publications · 440 citations

    2

    h-index

  2. Groundwater for Sustainable Development

    1 publications · 11 citations

    1

    h-index

  3. 1

    h-index

  4. OPSEARCH

    1 publications · 30 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 23 citations

    1

    h-index

1–5