Evolutionary Algorithm Rule Curve Design

Evolutionary Algorithm Rule Curve Design is a computational optimization framework within hydrological reservoir management that employs evolutionary algorithms to iteratively evolve rule curves by simulating natural selection processes, thereby distinguishing itself from conventional methods through its adaptive, population-based search mechanism for deriving optimal reservoir operation policies.

15

Publications

601

Citations

31

Authors

17

Institutions

Publications per year

2017–2026

8

Authors

31

  1. AK
    Anongrit Kangrang

    Mahasarakham University, Thailand

    8 publications · 212 citations

    7

    h-index

  2. HP
    Haris Prasanchum

    Rajamangala University of Technology Isan, Thailand

    4 publications · 109 citations

    4

    h-index

  3. AJ
    Adebayo J. Adeloye

    Heriot-Watt University, United Kingdom

    2 publications · 65 citations

    2

    h-index

  4. RH
    Rattana Hormwichian

    Mahasarakham University, Thailand

    2 publications · 50 citations

    2

    h-index

  5. TT
    Teerawat Thongwan

    Rajamangala University of Technology Isan, Thailand

    2 publications · 33 citations

    2

    h-index

1–5 of 31

Venues

  1. Water Resources Management

    2 publications · 77 citations

    2

    h-index

  2. Advances in Civil Engineering

    2 publications · 42 citations

    2

    h-index

  3. 1

    h-index

  4. Journal of Applied Sciences

    1 publications · 33 citations

    1

    h-index

  5. Sustainability

    1 publications · 17 citations

    1

    h-index

1–5