Random Mutation

Random Mutation is a mutation operator that introduces changes to a program or data structure by selecting mutations stochastically from a predefined set of possible alterations without guided bias or deterministic strategy.

252

Publications

14K

Citations

870

Authors

359

Institutions

Publications per year

2017–2026

77

Authors

870

  1. HC
    Hao Chen

    University of California, Davis, United States

    4 publications · 654 citations

    4

    h-index

  2. JH
    Jason H. Bielas

    Fred Hutch Cancer Center, United States

    4 publications · 609 citations

    4

    h-index

  3. HZ
    Hegazy Zaher Sabry

    Cairo University, Egypt

    3 publications · 178 citations

    3

    h-index

  4. LJ
    Lawrence J. Fogel

    Lockheed Martin Orincon (United States), United States

    3 publications · 88 citations

    3

    h-index

  5. EN
    Eri Nobusawa

    Nagoya City University, Japan

    3 publications · 96 citations

    3

    h-index

1–5 of 870

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 11 publications · 1.7K citations

    11

    h-index

  2. PLoS ONE

    6 publications · 137 citations

    6

    h-index

  3. Scientific Reports

    4 publications · 99 citations

    4

    h-index

  4. IEEE Access

    4 publications · 106 citations

    4

    h-index

  5. Mathematical Problems in Engineering

    MPE · 4 publications · 101 citations

    4

    h-index

1–5