Set-based Multiobjective Optimization

Set-Based Multiobjective Optimization is a multiobjective optimization paradigm that fundamentally employs sets as primitive solution structures, distinguishing itself by explicitly representing and evolving solution sets in the decision space to approximate Pareto-optimal fronts through set-based operators and convergence criteria.

89

Publications

5.6K

Citations

200

Authors

133

Institutions

Publications per year

2017–2026

16

Authors

200

  1. DB
    Dimo Brockhoff

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 323 citations

    3

    h-index

  2. TY
    T. Y. Lee

    University of Alabama, United States

    3 publications · 65 citations

    3

    h-index

  3. MM
    Margaret M. Wiecek

    Clemson University, United States

    3 publications · 91 citations

    3

    h-index

  4. WH
    Wei-Shen Hsia

    University of Alabama, United States

    3 publications · 65 citations

    3

    h-index

  5. DG
    Dunwei Gong

    China University of Mining and Technology, China

    2 publications · 282 citations

    2

    h-index

1–5 of 200

Venues

  1. Journal of Optimization Theory and Applications

    11 publications · 470 citations

    10

    h-index

  2. European Journal of Operational Research

    6 publications · 232 citations

    6

    h-index

  3. Structural and Multidisciplinary Optimization

    4 publications · 1.3K citations

    4

    h-index

  4. Information Sciences

    3 publications · 113 citations

    3

    h-index

  5. IEEE Transactions on Evolutionary Computation

    3 publications · 483 citations

    3

    h-index

1–5