Clustering-based Niching

Clustering-Based Niching is a niching method that employs clustering techniques to identify and maintain distinct subpopulations within an evolutionary algorithm, thereby promoting multimodal optimization by partitioning the search space according to structural similarity in solution features.

19

Publications

1.3K

Citations

57

Authors

42

Institutions

Publications per year

2017–2026

5

Authors

57

  1. DC
    Dongxia Chang

    Beijing Jiaotong University, China

    2 publications · 73 citations

    2

    h-index

  2. KD
    Kalyanmoy Deb

    Michigan State University, United States

    2 publications · 509 citations

    2

    h-index

  3. CZ
    Changwen Zheng

    Institute of Software, China

    2 publications · 73 citations

    2

    h-index

  4. YF
    Yuanjing Feng

    Zhejiang University of Technology, China

    1 publications · 16 citations

    1

    h-index

  5. XZ
    Xian‐Da Zhang

    Tsinghua University, China

    1 publications · 54 citations

    1

    h-index

1–5 of 57

Venues

  1. Pattern Recognition

    2 publications · 73 citations

    2

    h-index

  2. Information Sciences

    1 publications · 66 citations

    1

    h-index

  3. Open Mathematics

    1 publications · 15 citations

    1

    h-index

  4. Computer Engineering and Applications Journal

    1 publications · 132 citations

    1

    h-index

  5. Swarm and Evolutionary Computation

    1 publications · 39 citations

    1

    h-index

1–5