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
Parents
15
Watchara Suiadee, Tawatchai Tingsanchali · Hydrological Processes · 2007 · 50 citations
Natural Resources, Hydrology, Water Resources Management +17
Adebayo J. Adeloye, Bankaru‐Swamy Soundharajan, C. S. P. Ojha et al. · Water Resources Management · 2015 · 48 citations · Full text
Natural Resources, Hydrology, Water Resources Management +17
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Mahasarakham University
Maha Sarakham, Thailand
6 h-index
13 publications
312 citations
Rajamangala University of Technology Isan
Nakhon Ratchasima, Thailand
3 h-index
3 publications
63 citations

Heriot-Watt University
Edinburgh, United Kingdom
2 h-index
5 publications
147 citations
Khon Kaen University
Khon Kaen, Thailand
2 h-index
2 publications
42 citations

Asian Institute of Technology
Pathum Thani, Thailand
1 h-index
2 publications
100 citations
Kyushu University
Fukuoka, Japan
1 h-index
3 publications
159 citations

University of Minnesota
Minneapolis, United States
1 h-index
3 publications
72 citations
Ubon Ratchathani University
Ubon Ratchathani, Thailand
1 h-index
1 publications
12 citations
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2 publications · 77 citations
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2 publications · 42 citations
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1 publications · 20 citations
1
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1 publications · 33 citations
1
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1 publications · 17 citations
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