Search alternatives:
model optimization » global optimization (Expand Search), based optimization (Expand Search), wolf optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic codon » basic column (Expand Search)
primary i » primary _ (Expand Search), primary aim (Expand Search), primary pci (Expand Search)
i model » _ model (Expand Search), a model (Expand Search), 3d model (Expand Search)
model optimization » global optimization (Expand Search), based optimization (Expand Search), wolf optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic codon » basic column (Expand Search)
primary i » primary _ (Expand Search), primary aim (Expand Search), primary pci (Expand Search)
i model » _ model (Expand Search), a model (Expand Search), 3d model (Expand Search)
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Features selected by optimization algorithms.
Published 2024“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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<i>MAPE performance of various</i> HNN-EB<i>k</i>SAT models.
Published 2023“…The primary objective is to investigate the effectiveness and robustness of the ADA algorithm in expediting the training phase of the HNN to attain an optimized EB<i>k</i>SAT logic representation. …”
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G<i>m</i>R performance of various HNN-EB<i>k</i>SAT models.
Published 2023“…The primary objective is to investigate the effectiveness and robustness of the ADA algorithm in expediting the training phase of the HNN to attain an optimized EB<i>k</i>SAT logic representation. …”
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RMSE performance of various HNN-EB<i>k</i>SAT models.
Published 2023“…The primary objective is to investigate the effectiveness and robustness of the ADA algorithm in expediting the training phase of the HNN to attain an optimized EB<i>k</i>SAT logic representation. …”
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Pseudocode of artificial dragonfly algorithm.
Published 2023“…The primary objective is to investigate the effectiveness and robustness of the ADA algorithm in expediting the training phase of the HNN to attain an optimized EB<i>k</i>SAT logic representation. …”
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The Hopfield artificial neural network algorithm.
Published 2023“…The primary objective is to investigate the effectiveness and robustness of the ADA algorithm in expediting the training phase of the HNN to attain an optimized EB<i>k</i>SAT logic representation. …”
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Case 1: PADR evaluation without scheduling.
Published 2024“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”
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