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          <dc:title>&lt;p&gt;Training rounds. Rounds R1–R3 compare the three selection methods (Elitism, Truncation, SUS) at the baseline configuration; rounds R4–R6 sweep mutation rate, genome length, and population size using the selected SUS method. Baseline: population 250, genome length 50, 12 hidden neurons, &lt;i&gt;p&lt;/i&gt;&lt;sub&gt;mut&lt;/sub&gt; = 0.005, 1000 generations.&lt;/p&gt;</dc:title>
          <dc:creator>Sarah Wolpold (25111751)</dc:creator>
          <dc:creator>Christian R. Voolstra (6915230)</dc:creator>
          <dc:creator>Sebastian von Mammen (20947118)</dc:creator>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Inorganic Chemistry</dc:subject>
          <dc:subject>require innovative approaches</dc:subject>
          <dc:subject>reef &amp;# 8217</dc:subject>
          <dc:subject>guide larval actions</dc:subject>
          <dc:subject>evolved controllers capture</dc:subject>
          <dc:subject>different mechanisms across</dc:subject>
          <dc:subject>crustose coralline algae</dc:subject>
          <dc:subject>coral larval simulations</dc:subject>
          <dc:subject>characteristic cue responses</dc:subject>
          <dc:subject>various environmental conditions</dc:subject>
          <dc:subject>enhance biological realism</dc:subject>
          <dc:subject>model yields interpretable</dc:subject>
          <dc:subject>integrating adaptive behaviors</dc:subject>
          <dc:subject>bimodal vertical distribution</dc:subject>
          <dc:subject>optimizing settlement success</dc:subject>
          <dc:subject>vertical distribution</dc:subject>
          <dc:subject>settlement success</dc:subject>
          <dc:subject>environmental cues</dc:subject>
          <dc:subject>biological processes</dc:subject>
          <dc:subject>successful settlement</dc:subject>
          <dc:subject>work introduces</dc:subject>
          <dc:subject>ultimately determining</dc:subject>
          <dc:subject>testable outcomes</dc:subject>
          <dc:subject>term resilience</dc:subject>
          <dc:subject>swimming larvae</dc:subject>
          <dc:subject>simplified environment</dc:subject>
          <dc:subject>sensitivity analyses</dc:subject>
          <dc:subject>reduced hydrodynamics</dc:subject>
          <dc:subject>previous studies</dc:subject>
          <dc:subject>next generation</dc:subject>
          <dc:subject>neural network</dc:subject>
          <dc:subject>key metrics</dc:subject>
          <dc:subject>human activities</dc:subject>
          <dc:subject>future work</dc:subject>
          <dc:subject>evolutionary algorithms</dc:subject>
          <dc:subject>entire ecosystem</dc:subject>
          <dc:subject>climate change</dc:subject>
          <dc:subject>bottleneck linking</dc:subject>
          <dc:subject>benthic community</dc:subject>
          <dc:subject>based model</dc:subject>
          <dc:subject>approach provides</dc:subject>
          <dc:subject>also exposing</dc:subject>
          <dc:description>&lt;p&gt;Training rounds. Rounds R1–R3 compare the three selection methods (Elitism, Truncation, SUS) at the baseline configuration; rounds R4–R6 sweep mutation rate, genome length, and population size using the selected SUS method. Baseline: population 250, genome length 50, 12 hidden neurons, &lt;i&gt;p&lt;/i&gt;&lt;sub&gt;mut&lt;/sub&gt; = 0.005, 1000 generations.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-25T17:59:07Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0359316.t004</dc:identifier>
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