Tree-based Genetic Programming

Tree-Based Genetic Programming is a type of genetic programming in which programs are represented as tree structures, where internal nodes correspond to functions and leaf nodes correspond to terminals, enabling hierarchical and modular evolution of solutions through genetic operators such as crossover and mutation.

120

Publications

4.7K

Citations

265

Authors

152

Institutions

Publications per year

2017–2026

30

Authors

265

  1. MZ
    Mengjie Zhang

    Victoria University of Wellington, New Zealand

    6 publications · 276 citations

    6

    h-index

  2. NX
    Nguyễn Xuân Hoài

    Seoul National University, South Korea

    5 publications · 562 citations

    5

    h-index

  3. KK
    Krzysztof Krawiec

    Poznań University of Technology, Poland

    5 publications · 134 citations

    5

    h-index

  4. DE
    Daryl Essam

    UNSW Sydney, Australia

    4 publications · 190 citations

    4

    h-index

  5. SL
    Sean Luke

    George Mason University, United States

    4 publications · 482 citations

    4

    h-index

1–5 of 265

Venues

  1. Genetic Programming and Evolvable Machines

    10 publications · 890 citations

    10

    h-index

  2. IEEE Transactions on Evolutionary Computation

    8 publications · 478 citations

    8

    h-index

  3. Evolutionary Computation

    5 publications · 407 citations

    5

    h-index

  4. Expert Systems with Applications

    4 publications · 235 citations

    4

    h-index

  5. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 4 publications · 100 citations

    4

    h-index

1–5