Real-valued Mutation

Real-Valued Mutation is a mutation operator in evolutionary algorithms that modifies real-valued genes in an individual's chromosome by applying perturbations drawn from a probability distribution, thereby introducing controlled variation in continuous search spaces.

9

Publications

647

Citations

18

Authors

16

Institutions

Publications per year

2017–2026

1

Variants

Real-valued Mutation Operator

Authors

18

  1. DM
    D.W. Machuga

    Pennsylvania State University, United States

    1 publications · 106 citations

    1

    h-index

  2. TK
    Timo Kötzing

    Hasso Plattner Institute, Germany

    1 publications · 58 citations

    1

    h-index

  3. KD
    Kalyanmoy Deb

    Michigan State University, United States

    1 publications · 280 citations

    1

    h-index

  4. BD
    Benjamin Doerr

    École Polytechnique, France

    1 publications · 58 citations

    1

    h-index

  5. GZ
    Guoli Zhang

    Tiangong University, China

    1 publications · 18 citations

    1

    h-index

1–5 of 18

Venues

  1. Information Sciences

    1 publications · 27 citations

    1

    h-index

  2. Fundamenta Informaticae

    1 publications · 15 citations

    1

    h-index

  3. Algorithmica

    1 publications · 58 citations

    1

    h-index

  4. Fuzzy Sets and Systems

    1 publications · 40 citations

    1

    h-index

  5. IEEE Transactions on Antennas and Propagation

    1 publications · 106 citations

    1

    h-index

1–5