بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
step optimization » after optimization (توسيع البحث), swarm optimization (توسيع البحث), based optimization (توسيع البحث)
sample design » sampling design (توسيع البحث)
final sample » fecal samples (توسيع البحث), total sample (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data step » data set (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
step optimization » after optimization (توسيع البحث), swarm optimization (توسيع البحث), based optimization (توسيع البحث)
sample design » sampling design (توسيع البحث)
final sample » fecal samples (توسيع البحث), total sample (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data step » data set (توسيع البحث)
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Multi objective optimization design process.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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Optimal Latin square sampling distribution.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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The flowchart of Algorithm 2.
منشور في 2024"…To solve this optimization model, a multi-level optimization algorithm is designed. …"
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PANet network design.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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BiFPN network design.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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Design variables and range of values.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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Feasibility diagram of design points.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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