Genetic Programming Mutation

Genetic Programming Mutation is a genetic operator that introduces variation into a population of programs by randomly altering the structure or content of a program's syntactic representation according to predefined transformation rules, thereby enabling exploration of the search space in genetic programming.

140

Publications

7.4K

Citations

262

Authors

131

Institutions

Publications per year

2017–2026

23

Authors

262

  1. WB
    William B. Langdon

    University College London, United Kingdom

    13 publications · 875 citations

    12

    h-index

  2. RP
    Riccardo Poli

    University of Essex, United Kingdom

    10 publications · 545 citations

    10

    h-index

  3. NF
    Nicholas Freitag McPhee

    University of Minnesota Morris, United States

    7 publications · 286 citations

    7

    h-index

  4. MS
    Moshe Sipper

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 215 citations

    6

    h-index

  5. MI
    Malcolm I. Heywood

    Dalhousie University, Canada

    4 publications · 118 citations

    4

    h-index

1–5 of 262

Venues

  1. Genetic Programming and Evolvable Machines

    11 publications · 744 citations

    11

    h-index

  2. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 5 publications · 164 citations

    5

    h-index

  3. IEEE Transactions on Evolutionary Computation

    4 publications · 822 citations

    5

    h-index

  4. Evolutionary Computation

    4 publications · 804 citations

    4

    h-index

  5. Genetic and Evolutionary Computation Conference

    Conference · 4 publications · 149 citations

    4

    h-index

1–5