Collaborative Co-evolutionary Algorithms

Collaborative Co-Evolutionary Algorithms is a class of co-evolutionary optimization frameworks in which multiple interdependent populations evolve synergistically through coordinated fitness evaluation and information exchange to solve complex, decomposable problems.

65

Publications

4.7K

Citations

199

Authors

103

Institutions

Publications per year

2017–2026

36

Variants

Cooperative Co-evolutionary Algorithms

Authors

199

  1. XL
    Xiaodong Li

    RMIT University, Australia

    9 publications · 1.3K citations

    9

    h-index

  2. MN
    Mohammad Nabi Omidvar

    RMIT University, Australia

    7 publications · 912 citations

    7

    h-index

  3. XY
    Xin Yao

    University of Birmingham, United Kingdom

    5 publications · 1.8K citations

    5

    h-index

  4. YM
    Yi Mei

    Victoria University of Wellington, New Zealand

    5 publications · 417 citations

    5

    h-index

  5. YJ
    Ya-Hui Jia

    South China University of Technology, China

    3 publications · 145 citations

    3

    h-index

1–5 of 199

Venues

  1. Information Sciences

    7 publications · 1.5K citations

    7

    h-index

  2. Applied Soft Computing

    4 publications · 115 citations

    4

    h-index

  3. IEEE Transactions on Evolutionary Computation

    4 publications · 572 citations

    4

    h-index

  4. IEEE Access

    4 publications · 78 citations

    4

    h-index

  5. Knowledge-Based Systems

    3 publications · 89 citations

    3

    h-index

1–5