Search alternatives:
codon optimization » wolf optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic codon » basic column (Expand Search)
primary a » primary _ (Expand Search), primary i (Expand Search), primary aim (Expand Search)
a global » _ global (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic codon » basic column (Expand Search)
primary a » primary _ (Expand Search), primary i (Expand Search), primary aim (Expand Search)
a global » _ global (Expand Search)
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Features selected by optimization algorithms.
Published 2024“…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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Pseudocode of artificial dragonfly algorithm.
Published 2023“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”
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The Hopfield artificial neural network algorithm.
Published 2023“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”
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Hybrid feature selection algorithm of CSCO-ROA.
Published 2024“…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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Curve of step response signal of 6 algorithms.
Published 2023“…<div><p>This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks Tunicate Swarm Optimization Algorithm (MSHHOTSA). …”
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Flow diagram of Wan Abdullah method for HNN.
Published 2023“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”
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Training error and accuracy for all HNN models.
Published 2023“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”
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G<i>m</i>R performance of various HNN-EB<i>k</i>SAT models.
Published 2023“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”
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<i>MAPE performance of various</i> HNN-EB<i>k</i>SAT models.
Published 2023“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”
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RMSE performance of various HNN-EB<i>k</i>SAT models.
Published 2023“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”
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Wilcoxon’s rank sum test results.
Published 2023“…<div><p>This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks Tunicate Swarm Optimization Algorithm (MSHHOTSA). …”