Tree Crossover

Tree Crossover is a genetic operator in evolutionary computation that belongs to the class of crossover methods and specifically involves the exchange of subtrees between parent tree structures to produce offspring in genetic programming.

34

Publications

1.3K

Citations

69

Authors

48

Institutions

Publications per year

2017–2026

4

Variants

Tree-based Crossover

Authors

69

  1. RP
    Riccardo Poli

    University of Essex, United Kingdom

    6 publications · 207 citations

    6

    h-index

  2. NF
    Nicholas Freitag McPhee

    University of Minnesota Morris, United States

    4 publications · 108 citations

    4

    h-index

  3. KK
    Krzysztof Krawiec

    Poznań University of Technology, Poland

    3 publications · 188 citations

    3

    h-index

  4. TP
    Tomasz P. Pawlak

    Poznań University of Technology, Poland

    2 publications · 87 citations

    2

    h-index

  5. JE
    Jonathan E. Rowe

    University of Birmingham, United Kingdom

    2 publications · 46 citations

    2

    h-index

1–5 of 69

Venues

  1. Genetic Programming and Evolvable Machines

    2 publications · 78 citations

    2

    h-index

  2. IEEE Transactions on Evolutionary Computation

    2 publications · 307 citations

    2

    h-index

  3. 1

    h-index

  4. Knowledge-Based Systems

    1 publications · 48 citations

    1

    h-index

  5. Soft Computing

    1 publications · 16 citations

    1

    h-index

1–5