Estimation Of Distribution Algorithms

Estimation of Distribution Algorithms is a type of evolutionary optimization algorithm that iteratively models the probability distribution of high-quality solutions and samples new candidate solutions from this distribution to guide the search process.

510

Publications

22.8K

Citations

901

Authors

403

Institutions

Publications per year

2017–2026

106

Variants

Edas

Authors

901

  1. PL
    Pedro Larrañaga

    Universidad Politécnica de Madrid, Spain

    27 publications · 1.2K citations

    22

    h-index

  2. JA
    José A. Lozano

    University of the Basque Country, Spain

    32 publications · 1.3K citations

    21

    h-index

  3. MP
    Martin Pelikán

    University of Illinois Urbana-Champaign, United States

    23 publications · 3.2K citations

    19

    h-index

  4. RS
    Roberto Santana

    University of the Basque Country, Spain

    27 publications · 840 citations

    18

    h-index

  5. DE
    David E. Goldberg

    University of Illinois Urbana-Champaign, United States

    18 publications · 2.6K citations

    16

    h-index

1–5 of 901

Venues

  1. IEEE Transactions on Evolutionary Computation

    30 publications · 2.5K citations

    24

    h-index

  2. Evolutionary Computation

    19 publications · 1.3K citations

    17

    h-index

  3. Information Sciences

    12 publications · 519 citations

    12

    h-index

  4. 9

    h-index

  5. International Journal of Production Research

    8 publications · 386 citations

    8

    h-index

1–5