Multiobjective Diversity Preservation

Multiobjective Diversity Preservation is a computational optimization strategy that belongs to the class of multiobjective evolutionary algorithms, distinguished by its explicit incorporation of mechanisms to maintain population diversity across multiple conflicting objectives while converging toward the Pareto-optimal front.

21

Publications

1.1K

Citations

64

Authors

34

Institutions

Publications per year

2017–2026

5

Authors

64

  1. XZ
    Xingyi Zhang

    Anhui University, China

    2 publications · 311 citations

    2

    h-index

  2. YT
    Ye Tian

    Anhui University, China

    2 publications · 311 citations

    2

    h-index

  3. RC
    Ran Cheng

    Southern University of Science and Technology, China

    2 publications · 311 citations

    2

    h-index

  4. CP
    Changhyup Park

    Seoul National University, South Korea

    2 publications · 29 citations

    2

    h-index

  5. GP
    Guilherme Palermo Coelho

    Universidade Estadual de Campinas (UNICAMP), Brazil

    1 publications · 17 citations

    1

    h-index

1–5 of 64

Venues

  1. Expert Systems with Applications

    1 publications · 17 citations

    1

    h-index

  2. IEEE Transactions on Evolutionary Computation

    1 publications · 59 citations

    1

    h-index

  3. 1

    h-index

  4. Advances in Engineering Software

    1 publications · 23 citations

    1

    h-index

  5. IEEE Computational Intelligence Magazine

    CIM · 1 publications · 182 citations

    1

    h-index

1–5