Search alternatives:
relating optimization » routing optimization (Expand Search), learning optimization (Expand Search), reaction optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
sample design » sampling design (Expand Search)
data relating » data related (Expand Search)
final sample » fecal samples (Expand Search), total sample (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
relating optimization » routing optimization (Expand Search), learning optimization (Expand Search), reaction optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
sample design » sampling design (Expand Search)
data relating » data related (Expand Search)
final sample » fecal samples (Expand Search), total sample (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Multi objective optimization design process.
Published 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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Optimal Latin square sampling distribution.
Published 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 flowchart of Algorithm 2.
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
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Thesis-RAMIS-Figs_Slides
Published 2024“…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”
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PANet network design.
Published 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.
Published 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.
Published 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.
Published 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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