بدائل البحث:
process optimization » model optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
process optimization » model optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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1
An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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2
The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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3
Comparisons between ADAM and NADAM optimizers.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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4
An illustration and comparison of the fitness convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using...
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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5
Medium-scale dataset comparative analysis using fitness and cost values for population size 50 and 100.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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6
Large-scale dataset comparative analysis using computation resources.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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7
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8
An illustration and comparison of the cost convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using 50...
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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9
Small-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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10
Medium-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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11
Small-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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12
Large-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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13
Medium-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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14
A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some high-dimensional datasets usi...
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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15
Medium-scale dataset comparative analysis using computation resources.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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16
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17
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18
Large-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100.
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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19
A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some medium-sized dimensional data...
منشور في 2023الموضوعات: "…requires approximate algorithms…"
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20
Small-scale dataset comparative analysis using computation resources.
منشور في 2023الموضوعات: "…requires approximate algorithms…"