Secondary Objective Optimization

Secondary Objective Optimization is a methodological framework in redundancy resolution that, as a secondary objective, enhances the primary solution by minimizing residual redundancy through auxiliary optimization criteria distinct from the main goal.

88

Publications

3.4K

Citations

265

Authors

156

Institutions

Publications per year

2017–2026

35

Authors

265

  1. JD
    J. D. Jansen

    Delft University of Technology, Netherlands

    3 publications · 204 citations

    3

    h-index

  2. PM
    Paul M.J. Van den Hof

    Delft University of Technology, Netherlands

    3 publications · 204 citations

    3

    h-index

  3. HA
    Hussein Almulla

    University of South Carolina, United States

    2 publications · 34 citations

    2

    h-index

  4. SM
    Simona Mancini

    University of Cagliari, Italy

    2 publications · 64 citations

    2

    h-index

  5. BH
    Ben Hachey

    The University of Sydney, Australia

    2 publications · 104 citations

    2

    h-index

1–5 of 265

Venues

  1. International Journal of Production Research

    9 publications · 396 citations

    9

    h-index

  2. INFORMS Journal on Computing

    2 publications · 255 citations

    2

    h-index

  3. IEEE Transactions on Computers

    2 publications · 53 citations

    2

    h-index

  4. Transportation Science

    2 publications · 41 citations

    2

    h-index

  5. IEEE Access

    2 publications · 32 citations

    2

    h-index

1–5