Risk-sensitive Multi-objective Optimization

Risk-Sensitive Multi-Objective Optimization is a framework within multi-objective Markov decision processes that incorporates sensitivity to the variability and uncertainty of outcomes by optimizing a risk-aware criterion across multiple conflicting objectives, rather than solely focusing on expected values.

51

Publications

2.2K

Citations

159

Authors

85

Institutions

Publications per year

2017–2026

27

Authors

159

  1. HG
    Hêriş Golpîra

    Islamic Azad University Sanandaj Branch, Iran

    3 publications · 216 citations

    3

    h-index

  2. XS
    Xiaolei Sun

    Chinese Academy of Sciences, China

    3 publications · 95 citations

    3

    h-index

  3. JL
    Jianping Li

    Chinese Academy of Sciences, China

    3 publications · 95 citations

    3

    h-index

  4. DW
    Dengsheng Wu

    Chinese Academy of Sciences, China

    3 publications · 95 citations

    3

    h-index

  5. AE
    Andreas Eichhorn

    Humboldt-Universität zu Berlin, Germany

    2 publications · 54 citations

    2

    h-index

1–5 of 159

Venues

  1. Energy

    8 publications · 360 citations

    8

    h-index

  2. Journal of Hydrology

    2 publications · 113 citations

    2

    h-index

  3. Automatica

    2 publications · 30 citations

    2

    h-index

  4. Energy and Buildings

    2 publications · 159 citations

    2

    h-index

  5. European Journal of Operational Research

    2 publications · 73 citations

    2

    h-index

1–5