Search alternatives:
which optimization » weight optimization (Expand Search), whale optimization (Expand Search), policy optimization (Expand Search)
based optimization » whale optimization (Expand Search)
final model » animal model (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data based » data used (Expand Search)
which optimization » weight optimization (Expand Search), whale optimization (Expand Search), policy optimization (Expand Search)
based optimization » whale optimization (Expand Search)
final model » animal model (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data based » data used (Expand Search)
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141
DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx
Published 2022“…<p>Genetic algorithm is widely used in multi-objective mechanical structure optimization. …”
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142
DataSheet1_Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning.docx
Published 2021“…<p>This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. …”
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143
Algorithms runtime comparison.
Published 2025“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”
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144
Experimental data set.
Published 2023“…A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current time according to its own continuous learning, and improve the reinforcement learning algorithm. …”
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145
Principal component analysis table.
Published 2023“…A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current time according to its own continuous learning, and improve the reinforcement learning algorithm. …”
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146
Interpretation of data population variance.
Published 2023“…A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current time according to its own continuous learning, and improve the reinforcement learning algorithm. …”
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147
Factor load coefficient table.
Published 2023“…A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current time according to its own continuous learning, and improve the reinforcement learning algorithm. …”
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148
Update convergence time of some training times.
Published 2023“…A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current time according to its own continuous learning, and improve the reinforcement learning algorithm. …”
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149
Flowchart of VMD optimization in SSA.
Published 2024“…<div><p>In view of the strong randomness and non-stationarity of complex system, this study suggests a hybrid multi-strategy prediction technique based on optimized hybrid denoising and deep learning. Firstly, the Sparrow search algorithm (SSA) is used to optimize Variational mode decomposition (VMD) which can decompose the original signal into several Intrinsic mode functions (IMF). …”
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150
Overnight technician routing and scheduling problem with time windows and balanced workloads: a bi-objective zebra optimization algorithm
Published 2025“…<p>In this paper, we develop a mathematical model of a technician routeing and scheduling problem with time windows (TRSPTW) and overnight shifts, which we title the ‘overnight TRSPTW’. …”
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151
Schematic diagram of feature template extraction.
Published 2025“…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
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152
HE_FaceNet error rate.
Published 2025“…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
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153
Flow chart of system ciphertext clustering.
Published 2025“…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
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154
HE_FaceNet frame diagram.
Published 2025“…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
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155
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156
Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer
Published 2025“…As fully fault-tolerant algorithms and hardware, for which an exponential speedup is predicted, are currently out of reach, recent research efforts have been dedicated to developing and scaling algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices to showcase the practical usefulness of such machines. …”
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157
Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer
Published 2025“…As fully fault-tolerant algorithms and hardware, for which an exponential speedup is predicted, are currently out of reach, recent research efforts have been dedicated to developing and scaling algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices to showcase the practical usefulness of such machines. …”
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158
Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer
Published 2025“…As fully fault-tolerant algorithms and hardware, for which an exponential speedup is predicted, are currently out of reach, recent research efforts have been dedicated to developing and scaling algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices to showcase the practical usefulness of such machines. …”
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159
Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer
Published 2025“…As fully fault-tolerant algorithms and hardware, for which an exponential speedup is predicted, are currently out of reach, recent research efforts have been dedicated to developing and scaling algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices to showcase the practical usefulness of such machines. …”
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160
Solution results of different algorithms.
Published 2025“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”