Region-based Multiobjective Optimization

Region-Based Multiobjective Optimization is a specialized approach within continuous multi-criteria optimization that partitions the solution space into distinct regions to systematically identify and approximate Pareto-optimal solutions according to region-specific criteria or trade-offs.

78

Publications

4.7K

Citations

237

Authors

107

Institutions

Publications per year

2017–2026

35

Authors

237

  1. YJ
    Yaochu Jin

    University of Surrey, United Kingdom

    4 publications · 152 citations

    4

    h-index

  2. LL
    Longmei Li

    National University of Defense Technology, China

    4 publications · 90 citations

    4

    h-index

  3. ME
    Michael Emmerich

    Leiden University, Netherlands

    4 publications · 90 citations

    4

    h-index

  4. KK
    Kathrin Klamroth

    University of Wuppertal, Germany

    2 publications · 148 citations

    2

    h-index

  5. RL
    Renaud Lacour

    Université Paris Dauphine-PSL, France

    2 publications · 148 citations

    2

    h-index

1–5 of 237

Venues

  1. IEEE Transactions on Evolutionary Computation

    9 publications · 1.1K citations

    9

    h-index

  2. European Journal of Operational Research

    4 publications · 206 citations

    4

    h-index

  3. Applied Soft Computing

    3 publications · 53 citations

    3

    h-index

  4. Electric Power Systems Research

    2 publications · 34 citations

    2

    h-index

  5. Neurocomputing

    2 publications · 60 citations

    2

    h-index

1–5