One-point Crossover

One-Point Crossover is a crossover operator in evolutionary algorithms and genetic computation—a method of population recombination—defined by the single, randomly selected position at which two parent chromosomes are split and crossed to exchange genetic material, producing two offspring.

48

Publications

1.7K

Citations

78

Authors

44

Institutions

Publications per year

2017–2026

7

Variants

Single-point Crossover

Authors

78

  1. RP
    Riccardo Poli

    University of Essex, United Kingdom

    7 publications · 519 citations

    8

    h-index

  2. DS
    Dirk Sudholt

    University of Sheffield, United Kingdom

    3 publications · 153 citations

    3

    h-index

  3. WB
    William B. Langdon

    University College London, United Kingdom

    3 publications · 302 citations

    3

    h-index

  4. AM
    Alfonsas Misevičius

    Kaunas University of Technology, Lithuania

    2 publications · 50 citations

    2

    h-index

  5. NF
    Nicholas Freitag McPhee

    University of Minnesota Morris, United States

    2 publications · 100 citations

    2

    h-index

1–5 of 78

Venues

  1. Evolutionary Computation

    5 publications · 400 citations

    5

    h-index

  2. IEEE Transactions on Learning Technologies

    1 publications · 40 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Evolutionary Computation

    1 publications · 125 citations

    1

    h-index

  5. Information Technology And Control

    1 publications · 30 citations

    1

    h-index

1–5