Multiobjective Risk Optimization

Multiobjective Risk Optimization is a formal decision-making framework that extends single-objective risk optimization by simultaneously minimizing multiple conflicting risk measures or trade-offs under uncertainty, where the solution set consists of Pareto-optimal alternatives balancing diverse risk criteria.

72

Publications

2.9K

Citations

169

Authors

96

Institutions

Publications per year

2017–2026

23

Authors

169

  1. YY
    Yacov Y. Haimes

    University of Virginia, United States

    8 publications · 165 citations

    8

    h-index

  2. JL
    Jianping Li

    Chinese Academy of Sciences, China

    5 publications · 176 citations

    5

    h-index

  3. DW
    Dengsheng Wu

    Chinese Academy of Sciences, China

    5 publications · 176 citations

    5

    h-index

  4. DL
    Duan Li

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 59 citations

    3

    h-index

  5. HA
    Hussein A. Abbass

    UNSW Sydney, Australia

    3 publications · 93 citations

    3

    h-index

1–5 of 169

Venues

  1. Risk Analysis

    5 publications · 114 citations

    5

    h-index

  2. 4

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  3. Energy

    4 publications · 155 citations

    4

    h-index

  4. Water Resources Research

    3 publications · 132 citations

    3

    h-index

  5. 2

    h-index

1–5