Multiobjective Flow Optimization

Multiobjective Flow Optimization is a systematic computational framework within hydrological modeling that simultaneously optimizes multiple conflicting objectives—such as water supply reliability, environmental flow maintenance, and drought mitigation efficiency—under uncertain and constrained water availability conditions in river systems.

67

Publications

2.4K

Citations

236

Authors

120

Institutions

Publications per year

2017–2026

34

Authors

236

  1. RC
    Richard C. Peralta

    Utah State University, United States

    2 publications · 44 citations

    2

    h-index

  2. ME
    Mohammad Ehteram

    Semnan University, Iran

    2 publications · 59 citations

    2

    h-index

  3. JM
    José María Ponce‐Ortega

    Universidad Michoacana de San Nicolás de Hidalgo, Mexico

    2 publications · 42 citations

    2

    h-index

  4. BD
    Bithin Datta

    James Cook University, Australia

    2 publications · 121 citations

    2

    h-index

  5. SM
    Seyedali Mirjalili

    Torrens University Australia, Australia

    2 publications · 47 citations

    2

    h-index

1–5 of 236

Venues

  1. 7

    h-index

  2. Journal of Hydrology

    5 publications · 276 citations

    5

    h-index

  3. Water Resources Research

    4 publications · 116 citations

    4

    h-index

  4. Water Resources Management

    4 publications · 109 citations

    4

    h-index

  5. Journal of Environmental Management

    2 publications · 65 citations

    2

    h-index

1–5