Linear Genetic Programming

Linear Genetic Programming is a variant of genetic programming in which computer programs are encoded as linear sequences of instructions, typically represented in an imperative or assembly-like form, distinguishing it from tree-based genetic programming by its use of a fixed, sequential structure that facilitates efficient execution and mutation operations.

150

Publications

6.6K

Citations

289

Authors

174

Institutions

Publications per year

2017–2026

38

Variants

Lgp

Authors

289

  1. AH
    Amir H. Alavi

    Michigan State University, United States

    13 publications · 944 citations

    13

    h-index

  2. AH
    Amir H. Gandomi

    University of Technology Sydney, Australia

    12 publications · 906 citations

    12

    h-index

  3. WB
    Wolfgang Banzhaf

    Memorial University of Newfoundland, Canada

    10 publications · 731 citations

    10

    h-index

  4. AG
    Aytaç Güven

    Gaziantep University, Türkiye

    7 publications · 513 citations

    7

    h-index

  5. AA
    Ajith Abraham

    Machine Intelligence Research Labs, United States

    5 publications · 351 citations

    5

    h-index

1–5 of 289

Venues

  1. IEEE Transactions on Evolutionary Computation

    8 publications · 754 citations

    8

    h-index

  2. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 6 publications · 200 citations

    6

    h-index

  3. Genetic Programming and Evolvable Machines

    5 publications · 145 citations

    4

    h-index

  4. Journal of Hydrology

    4 publications · 383 citations

    4

    h-index

  5. Geoscience Frontiers

    3 publications · 289 citations

    3

    h-index

1–5