Single-objective Optimization

Single-Objective Optimization is a type of mathematical optimization problem in which the objective is to find the optimal solution that minimizes or maximizes a single, explicitly defined objective function, distinguishing it from multi-objective optimization by the absence of trade-offs among competing objectives.

1.4K

Publications

73K

Citations

3.9K

Authors

1.3K

Institutions

Publications per year

2017–2026

662

Authors

3.9K

  1. KD
    Kalyanmoy Deb

    Michigan State University, United States

    25 publications · 3.3K citations

    19

    h-index

  2. QZ
    Qingfu Zhang

    City University of Hong Kong, Hong Kong SAR China

    14 publications · 2.1K citations

    14

    h-index

  3. CA
    Carlos A. Coello Coello

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    11 publications · 2.1K citations

    11

    h-index

  4. YJ
    Yaochu Jin

    University of Surrey, United Kingdom

    11 publications · 1.4K citations

    11

    h-index

  5. XY
    Xin Yao

    University of Birmingham, United Kingdom

    10 publications · 2K citations

    10

    h-index

1–5 of 3.9K

Venues

  1. IEEE Access

    48 publications · 2.4K citations

    29

    h-index

  2. IEEE Transactions on Evolutionary Computation

    30 publications · 4.6K citations

    27

    h-index

  3. IEEE Transactions on Cybernetics

    25 publications · 2.4K citations

    23

    h-index

  4. Energies

    19 publications · 735 citations

    17

    h-index

  5. Engineering Optimization

    19 publications · 1K citations

    14

    h-index

1–5