Real-coded Crossover

Real-Coded Crossover is a crossover operator in evolutionary algorithms that operates on real-valued vectors by generating offspring through arithmetic recombination of parent genes, distinguishing itself from binary or discrete crossover methods by preserving and manipulating continuous parameter representations.

77

Publications

5.7K

Citations

149

Authors

67

Institutions

Publications per year

2017–2026

8

Variants

Real-valued Crossover

Authors

149

  1. SK
    Shigenobu Kobayashi

    Tokyo Institute of Technology, Japan

    10 publications · 844 citations

    10

    h-index

  2. IO
    Isao Ono

    Tokyo Institute of Technology, Japan

    10 publications · 948 citations

    10

    h-index

  3. ML
    Manuel Lozano

    Universidad de Granada, Spain

    8 publications · 1.3K citations

    8

    h-index

  4. FH
    Francisco Herrera

    Universidad de Granada, Spain

    8 publications · 1.2K citations

    8

    h-index

  5. HK
    Hajime Kita

    Tokyo Institute of Technology, Japan

    6 publications · 442 citations

    6

    h-index

1–5 of 149

Venues

  1. International Journal of Intelligent Systems

    4 publications · 491 citations

    4

    h-index

  2. 4

    h-index

  3. Soft Computing

    4 publications · 178 citations

    4

    h-index

  4. Information Sciences

    3 publications · 250 citations

    3

    h-index

  5. Applied Mathematics and Computation

    3 publications · 815 citations

    3

    h-index

1–5