بدائل البحث:
small optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), spatial optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
based small » based smart (توسيع البحث), based sample (توسيع البحث)
based wolf » based whole (توسيع البحث), based work (توسيع البحث), based well (توسيع البحث)
small optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), spatial optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
based small » based smart (توسيع البحث), based sample (توسيع البحث)
based wolf » based whole (توسيع البحث), based work (توسيع البحث), based well (توسيع البحث)
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Datasets and their properties.
منشور في 2023"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"
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Parameter settings.
منشور في 2023"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"
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Performance on GradEva.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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The considered test problems.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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Performance on FunEva.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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Performance on Iter.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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Continuation of Table 2.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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DataSheet_1_Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.pdf
منشور في 2022"…Improvement of the classification rate is expected with optimized model parameters and algorithms as well as with a larger spectral data base for training.…"
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datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf
منشور في 2021"…We introduce a graph neural network architecture for solving such optimization problems. The architecture is generic; it works for all binary constraint satisfaction problems. …"
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Steps in the extraction of 14 coordinates from the CT slices for the curved MPR.
منشور في 2025"…Protruding paths are then eliminated using graph-based optimization algorithms, as demonstrated in f). …"