Multiobjective Convex Optimization

Multiobjective Convex Optimization is a formal framework in multi-criteria decision-making where multiple convex objective functions are simultaneously minimized over a convex feasible set, distinguishing itself by the joint convexity of objectives and constraints that ensures desirable properties for Pareto optimality and algorithmic tractability.

230

Publications

8.4K

Citations

380

Authors

251

Institutions

Publications per year

2017–2026

46

Authors

380

  1. IA
    I. Ahmad

    Aligarh Muslim University, India

    9 publications · 195 citations

    9

    h-index

  2. SK
    Shashi Kant Mishra

    Banaras Hindu University, India

    7 publications · 223 citations

    7

    h-index

  3. AR
    A. Rufián-Lizana

    Universidad de Sevilla, Spain

    6 publications · 245 citations

    6

    h-index

  4. BB
    Balendu Bhooshan Upadhyay

    Indian Institute of Technology Patna, India

    5 publications · 123 citations

    5

    h-index

  5. RO
    R. Osuna-Gómez

    Universidad de Sevilla, Spain

    5 publications · 234 citations

    5

    h-index

1–5 of 380

Venues

  1. Journal of Optimization Theory and Applications

    34 publications · 1.8K citations

    20

    h-index

  2. 17

    h-index

  3. European Journal of Operational Research

    16 publications · 475 citations

    15

    h-index

  4. Journal of Global Optimization

    16 publications · 366 citations

    14

    h-index

  5. Optimization

    8 publications · 197 citations

    8

    h-index

1–5