Multiobjective Nonlinear Programming

Multiobjective Nonlinear Programming is a mathematical optimization framework within multiobjective optimization that involves the simultaneous minimization or maximization of multiple nonlinear objective functions subject to nonlinear constraints, where the nonlinearity of both objectives and constraints distinguishes it from linear and single-object cha programming approaches.

553

Publications

22K

Citations

981

Authors

522

Institutions

Publications per year

2017–2026

108

Variants

MonlpMulti-objective Nonlinear Programming

Authors

981

  1. MS
    Masatoshi Sakawa

    Hiroshima University, Japan

    12 publications · 655 citations

    11

    h-index

  2. SK
    Shashi Kant Mishra

    Banaras Hindu University, India

    11 publications · 318 citations

    11

    h-index

  3. IA
    I. Ahmad

    Aligarh Muslim University, India

    10 publications · 200 citations

    10

    h-index

  4. DS
    Do Sang Kim

    Pukyong National University, South Korea

    10 publications · 380 citations

    10

    h-index

  5. ML
    Mariano Luque

    Universidad de Málaga, Spain

    9 publications · 257 citations

    9

    h-index

1–5 of 981

Venues

  1. Journal of Optimization Theory and Applications

    54 publications · 2.6K citations

    29

    h-index

  2. European Journal of Operational Research

    49 publications · 2K citations

    28

    h-index

  3. Journal of Mathematical Analysis and Applications

    37 publications · 1.4K citations

    23

    h-index

  4. Journal of Global Optimization

    21 publications · 649 citations

    16

    h-index

  5. Fuzzy Sets and Systems

    17 publications · 821 citations

    15

    h-index

1–5