بدائل البحث:
code optimization » codon optimization (توسيع البحث), model optimization (توسيع البحث), dose optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary data » dietary data (توسيع البحث)
data swarm » data share (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
code optimization » codon optimization (توسيع البحث), model optimization (توسيع البحث), dose optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary data » dietary data (توسيع البحث)
data swarm » data share (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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S1 Data -
منشور في 2023"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"
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Curve of step response signal of 6 algorithms.
منشور في 2023"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"
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Wilcoxon’s rank sum test results.
منشور في 2023"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"
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Flowchart of MSHHOTSA.
منشور في 2023"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"
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Tension/compression spring design problem.
منشور في 2023"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"
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Speed reducer design problem.
منشور في 2023"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"
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Flowchart of TSA [43].
منشور في 2023"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"