Genetic Programming Crossover

Genetic Programming Crossover is a genetic operator that, as a member of the class of recombination mechanisms in evolutionary computation, specifically exchanges subtrees between parent programs in a population to generate offspring, thereby leveraging the hierarchical and variable-length structure of programs unique to genetic programming.

478

Publications

36.3K

Citations

960

Authors

437

Institutions

Publications per year

2017–2026

99

Authors

960

  1. RP
    Riccardo Poli

    University of Essex, United Kingdom

    21 publications · 1K citations

    18

    h-index

  2. WB
    William B. Langdon

    University College London, United Kingdom

    20 publications · 1.1K citations

    15

    h-index

  3. LV
    Leonardo Vanneschi

    Universidade Nova de Lisboa, Portugal

    13 publications · 750 citations

    13

    h-index

  4. NF
    Nicholas Freitag McPhee

    University of Minnesota Morris, United States

    12 publications · 540 citations

    12

    h-index

  5. WB
    Wolfgang Banzhaf

    Memorial University of Newfoundland, Canada

    12 publications · 907 citations

    11

    h-index

1–5 of 960

Venues

  1. Genetic Programming and Evolvable Machines

    40 publications · 2.2K citations

    29

    h-index

  2. Expert Systems with Applications

    16 publications · 883 citations

    15

    h-index

  3. Applied Soft Computing

    15 publications · 492 citations

    14

    h-index

  4. IEEE Transactions on Evolutionary Computation

    12 publications · 1K citations

    12

    h-index

  5. Soft Computing

    11 publications · 365 citations

    10

    h-index

1–5