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    <title>Recent coe_bae items</title>
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    <description>Recent eScholarship items from Biological &amp; Agricultural Engineering</description>
    <pubDate>Sat, 27 Jun 2026 13:30:51 +0000</pubDate>
    <item>
      <title>A Hybrid Constrained Coral Reefs Optimization Algorithm with Machine Learning for Optimizing Multi-reservoir Systems Operation</title>
      <link>https://escholarship.org/uc/item/7w08k57j</link>
      <description>The continuous growing demand for water, prolonged periods of drought, and climatic uncertainties attributed mainly to climate change mean surface water reservoirs more than ever need to be managed efficiently. Several optimization algorithms have been developed to optimize multi-reservoir systems operation, mostly during severe dry/wet seasons, to mitigate extreme-events consequences. Yet, convergence speed, presence of local optimums, and calculation-cost efficiency are challenging while looking for the global optimum. In this paper, the problem of finding an efficient optimal operation policy in multi-reservoir systems is discussed. The complexity of the long-term operating rules and the reservoirs’ upstream and downstream joint-demands projected in recursive constraints make this problem formidable. The original Coral Reefs Optimization (CRO) algorithm, which is a meta-heuristic evolutionary algorithm, and two modified versions have been used to solve this problem. Proposed...</description>
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      <pubDate>Tue, 4 Aug 2020 00:00:00 +0000</pubDate>
      <author>
        <name>Emami, Mohammad</name>
      </author>
      <author>
        <name>Nazif, Sara</name>
      </author>
      <author>
        <name>Mousavi, Sayed-Farhad</name>
      </author>
      <author>
        <name>Karami, Hojat</name>
      </author>
      <author>
        <name>Daccache, Andre</name>
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