Tabu Search

Tabu Search is a metaheuristic optimization method that guides a local search procedure by using memory structures to avoid revisiting recently explored solutions and to escape local optima through strategic restrictions and aspiration criteria.

2.9K

Publications

177.2K

Citations

5.9K

Authors

1.8K

Institutions

Publications per year

2017–2026

585

Authors

5.9K

  1. FG
    Fred Glover

    University of Colorado Boulder, United States

    65 publications · 17.5K citations

    39

    h-index

  2. MG
    Michel Gendreau

    Université de Montréal, Canada

    36 publications · 6.9K citations

    34

    h-index

  3. GL
    Gilbert Laporte

    HEC Montréal, Canada

    32 publications · 5.4K citations

    30

    h-index

  4. JH
    Jin‐Kao Hao

    Université d'Angers, France

    42 publications · 2K citations

    25

    h-index

  5. ML
    Manuel Laguna

    University of Colorado Boulder, United States

    27 publications · 3.1K citations

    24

    h-index

1–5 of 5.9K

Venues

  1. European Journal of Operational Research

    126 publications · 13.3K citations

    71

    h-index

  2. Computers & Operations Research

    116 publications · 9.8K citations

    55

    h-index

  3. International Journal of Production Research

    120 publications · 5K citations

    42

    h-index

  4. Transportation Science

    35 publications · 6.5K citations

    33

    h-index

  5. Journal of the Operational Research Society

    OR · 49 publications · 3.5K citations

    32

    h-index

1–5