Discrete Crossover

Discrete Crossover is a type of crossover operator in evolutionary computation that generates offspring by independently selecting and combining alleles from each parent at every gene locus according to a fixed or stochastic rule, preserving only original parent values without interpolation.

7

Publications

178

Citations

19

Authors

14

Institutions

Publications per year

2017–2026

5

Authors

19

  1. PC
    Patrick Cordier

    Centre National de la Recherche Scientifique, France

    1 publications · 37 citations

    1

    h-index

  2. LL
    Lianghao Li

    Huazhong University of Science and Technology, China

    1 publications · 34 citations

    1

    h-index

  3. HG
    Hui Gao

    Beijing University of Posts and Telecommunications, China

    1 publications · 15 citations

    1

    h-index

  4. NC
    Nicolas Combe

    Centre National de la Recherche Scientifique, France

    1 publications · 37 citations

    1

    h-index

  5. RW
    Rui Wu

    Wuhan University of Technology, China

    1 publications · 15 citations

    1

    h-index

1–5 of 19

Venues

  1. IEEE Access

    1 publications · 15 citations

    1

    h-index

  2. Journal of Managerial Psychology

    1 publications · 50 citations

    1

    h-index

  3. 1

    h-index

  4. Swarm and Evolutionary Computation

    1 publications · 34 citations

    1

    h-index

  5. Journal of Microelectromechanical Systems

    1 publications · 13 citations

    1

    h-index

1–5