Multi-objective Sorting

Multi-Objective Sorting is a computational sorting framework that, as an extension of traditional sorting paradigms, is distinguished by its simultaneous optimization of multiple, often conflicting, objective criteria when arranging elements into a partially or totally ordered sequence.

49

Publications

3.2K

Citations

152

Authors

85

Institutions

Publications per year

2017–2026

17

Authors

152

  1. HC
    Huiling Chen

    Wenzhou University, China

    2 publications · 677 citations

    2

    h-index

  2. HS
    Herbert S. Wilf

    University of Pennsylvania, United States

    2 publications · 121 citations

    2

    h-index

  3. HS
    Huijuan Sun

    East China Jiaotong University, China

    1 publications · 135 citations

    1

    h-index

  4. SJ
    Saeid Jamshidi

    Sharif University of Technology, Iran

    1 publications · 43 citations

    1

    h-index

  5. LC
    Leilei Chang

    Hangzhou Dianzi University, China

    1 publications · 79 citations

    1

    h-index

1–5 of 152

Venues

  1. Kongzhi yu juece

    2 publications · 24 citations

    2

    h-index

  2. Journal of Materials Processing Technology

    2 publications · 506 citations

    2

    h-index

  3. European Journal of Operational Research

    2 publications · 60 citations

    2

    h-index

  4. 2

    h-index

  5. Applied Soft Computing

    2 publications · 104 citations

    2

    h-index

1–5