A diagnostic assessment of evolutionary algorithms for multi-objective surface water reservoir control
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- 作者：Jazmin Zatarain Salazara ; jz583@cornell.edu" class="auth_mail" title="E-mail the corresponding author ; Patrick M. Reed ; a ; pmr82@cornell.edu" class="auth_mail" title="E-mail the corresponding author ; patrick.reed@cornell.edu" class="auth_mail" title="E-mail the corresponding author ; Jonathan D. Hermanb ; Matteo Giulianic ; Andrea Castellettic
- 关键词：Multi-purpose reservoir control ; Direct policy search ; Multi-objective evolutionary algorithm ; Benchmark
- 刊名：Advances in Water Resources
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：92
- 期：Complete
- 页码：172-185
- 全文大小：2701 K
文摘
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Global pressures are motivating re-operation or design of reservoir systems.
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These challenges require an understanding of multi-sector tradeoffs.
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Benchmarks established for using MOEAs to discover operating policy tradeoffs.
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Some modern algorithms struggle to attain high levels of performance.
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Results are for the six-objective Lower Susquehanna benchmarking test case.