Competitive Co-evolutionary Algorithms

Competitive Co-Evolutionary Algorithms is a class of evolutionary computation methods in which multiple populations undergo simultaneous evolution under adversarial selection pressures, with the distinguishing feature that fitness evaluation is determined through direct competition between individuals across populations rather than against a fixed objective or environment.

32

Publications

1.7K

Citations

91

Authors

48

Institutions

Publications per year

2017–2026

9

Variants

Competitive Coevolutionary Algorithms

Authors

91

  1. XY
    Xin Yao

    University of Birmingham, United Kingdom

    3 publications · 228 citations

    3

    h-index

  2. JP
    Jordan Pollack

    Brandeis University, United States

    2 publications · 115 citations

    2

    h-index

  3. BY
    Bee Yan Hiew

    Multimedia University, Malaysia

    2 publications · 25 citations

    2

    h-index

  4. AB
    Alan Blair

    UNSW Sydney, Australia

    2 publications · 115 citations

    2

    h-index

  5. AA
    Ahmed Amine Ladjici

    University of Sciences and Technology Houari Boumediene, Algeria

    2 publications · 63 citations

    2

    h-index

1–5 of 91

Venues

  1. IEEE Transactions on Evolutionary Computation

    3 publications · 228 citations

    3

    h-index

  2. Information Sciences

    2 publications · 241 citations

    2

    h-index

  3. Neurocomputing

    2 publications · 25 citations

    2

    h-index

  4. 2

    h-index

  5. Genetic and Evolutionary Computation Conference

    Conference · 1 publications · 79 citations

    1

    h-index

1–5