Multi-objective Discounted Optimization

Multi-Objective Discounted Optimization is a formal framework in decision-making theory that extends single-objective discounted reward optimization by simultaneously optimizing multiple, potentially conflicting objective functions under a discounted cumulative reward criterion.

6

Publications

293

Citations

20

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

20

  1. ST
    Seyed Taghi Akhavan Niaki

    Sharif University of Technology, Iran

    1 publications · 44 citations

    1

    h-index

  2. NA
    Najmeh Alikar

    University of Malaya, Malaysia

    1 publications · 44 citations

    1

    h-index

  3. ZJ
    Zhong‐Zhong Jiang

    Northeastern University, China

    1 publications · 46 citations

    1

    h-index

  4. GA
    Ghassan Ahmed Alı

    Najran University, Saudi Arabia

    1 publications · 12 citations

    1

    h-index

  5. AO
    A. Ojha

    Vidyasagar University, India

    1 publications · 59 citations

    1

    h-index

1–5 of 20

Venues

  1. Applied Mathematical Modelling

    2 publications · 103 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 46 citations

    1

    h-index

  3. Symmetry

    1 publications · 12 citations

    1

    h-index

  4. 1

    h-index

  5. European Journal of Operational Research

    1 publications · 50 citations

    1

    h-index

1–5