Search Heuristics

Search Heuristics is a computational strategy that belongs to the class of problem-solving methods in artificial intelligence and is distinguished by its use of domain-specific knowledge to guide the search process efficiently toward a solution, typically through approximate or rule-of-thumb techniques that trade optimality for speed.

1K

Publications

84.1K

Citations

2K

Authors

816

Institutions

Publications per year

2017–2026

223

Authors

2K

  1. MH
    Malte Helmert

    University of Basel, Switzerland

    18 publications · 924 citations

    15

    h-index

  2. TJ
    Thomas Jansen

    TU Dortmund University, Germany

    15 publications · 559 citations

    14

    h-index

  3. NS
    Nathan Sturtevant

    University of Alberta, Canada

    15 publications · 469 citations

    13

    h-index

  4. WR
    Wheeler Ruml

    University of New Hampshire at Manchester, United States

    16 publications · 529 citations

    13

    h-index

  5. CW
    Carsten Witt

    Technical University of Denmark, Denmark

    13 publications · 885 citations

    13

    h-index

1–5 of 2K

Venues

  1. 18

    h-index

  2. Journal of Artificial Intelligence Research

    JAIR · 19 publications · 3.2K citations

    17

    h-index

  3. European Journal of Operational Research

    16 publications · 3K citations

    15

    h-index

  4. arXiv (Cornell University)

    Repository · 18 publications · 509 citations

    15

    h-index

  5. Artificial Intelligence

    16 publications · 2.3K citations

    15

    h-index

1–5