Crossover Operators

Crossover Operator is a genetic recombination mechanism in evolutionary algorithms that belongs to the class of variation operators and specifically generates offspring solutions by exchanging segments of genetic material between parent chromosomes according to a defined schema.

2K

Publications

134K

Citations

4.2K

Authors

1.4K

Institutions

Publications per year

2017–2026

456

Authors

4.2K

  1. RP
    Riccardo Poli

    University of Essex, United Kingdom

    25 publications · 1.2K citations

    19

    h-index

  2. KD
    Kalyanmoy Deb

    Michigan State University, United States

    18 publications · 5.6K citations

    17

    h-index

  3. DE
    David E. Goldberg

    University of Illinois Urbana-Champaign, United States

    15 publications · 2.3K citations

    15

    h-index

  4. IO
    Isao Ono

    Tokyo Institute of Technology, Japan

    15 publications · 1.1K citations

    13

    h-index

  5. DW
    Darrell Whitley

    Colorado State University, United States

    15 publications · 5.7K citations

    13

    h-index

1–5 of 4.2K

Venues

  1. IEEE Transactions on Evolutionary Computation

    73 publications · 11.7K citations

    51

    h-index

  2. Evolutionary Computation

    39 publications · 6.2K citations

    29

    h-index

  3. IEEE Access

    37 publications · 1.3K citations

    23

    h-index

  4. Applied Soft Computing

    27 publications · 1.8K citations

    23

    h-index

  5. Soft Computing

    36 publications · 2K citations

    20

    h-index

1–5