Objective Function Scaling

Objective Function Scaling is a methodological technique in multi-objective design optimization that adjusts the relative magnitudes of objective functions to ensure balanced contributions during optimization, thereby preventing dominance by objectives with larger scales.

69

Publications

3.5K

Citations

177

Authors

101

Institutions

Publications per year

2017–2026

20

Authors

177

  1. NV
    Nuno V. da Silva

    Imperial College London, United Kingdom

    3 publications · 96 citations

    3

    h-index

  2. GY
    Gang Yao

    Imperial College London, United Kingdom

    3 publications · 96 citations

    3

    h-index

  3. MM
    Mauro Maggioni

    Duke University, United States

    2 publications · 27 citations

    2

    h-index

  4. SG
    Samuel Gerber

    University of Utah, United States

    2 publications · 27 citations

    2

    h-index

  5. SV
    Svetha Venkatesh

    Deakin University, Australia

    2 publications · 117 citations

    2

    h-index

1–5 of 177

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 74 citations

    5

    h-index

  2. Optimization methods & software

    3 publications · 89 citations

    3

    h-index

  3. Applied Soft Computing

    2 publications · 50 citations

    2

    h-index

  4. 2

    h-index

  5. Management Science

    2 publications · 343 citations

    2

    h-index

1–5