Dynamic Niching

Dynamic Niching is a computational optimization strategy within the broader class of niching methods that dynamically adapts its search process to continuously identify and maintain multiple stable subpopulations in changing or time-dependent fitness landscapes.

17

Publications

859

Citations

47

Authors

26

Institutions

Publications per year

2017–2026

2

Authors

47

  1. KW
    Kevin Warwick

    University of Reading, United Kingdom

    2 publications · 80 citations

    2

    h-index

  2. SD
    Swagatam Das

    Indian Statistical Institute, India

    2 publications · 83 citations

    2

    h-index

  3. DC
    Dongxia Chang

    Beijing Jiaotong University, China

    2 publications · 73 citations

    2

    h-index

  4. CZ
    Changwen Zheng

    Institute of Software, China

    2 publications · 73 citations

    2

    h-index

  5. AA
    Alexander Aleman

    Leiden University, Netherlands

    1 publications · 26 citations

    1

    h-index

1–5 of 47

Venues

  1. Information Sciences

    2 publications · 256 citations

    2

    h-index

  2. Pattern Recognition

    2 publications · 73 citations

    2

    h-index

  3. Knowledge-Based Systems

    1 publications · 19 citations

    1

    h-index

  4. CentAUR (University of Reading)

    Repository · 1 publications · 23 citations

    1

    h-index

  5. Swarm and Evolutionary Computation

    1 publications · 39 citations

    1

    h-index

1–5