Showing 141 - 160 results of 993 for search '(( final model which optimization algorithm ) OR ( binary data based optimization algorithm ))', query time: 0.61s Refine Results
  1. 141

    DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx by Ying Sun (23237)

    Published 2022
    “…<p>Genetic algorithm is widely used in multi-objective mechanical structure optimization. …”
  2. 142

    DataSheet1_Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning.docx by Wenhui Li (396116)

    Published 2021
    “…<p>This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. …”
  3. 143

    Algorithms runtime comparison. by Meilin Zhu (688698)

    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. …”
  4. 144

    Experimental data set. by Li Wang (15202)

    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. …”
  5. 145

    Principal component analysis table. by Li Wang (15202)

    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. …”
  6. 146

    Interpretation of data population variance. by Li Wang (15202)

    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. …”
  7. 147

    Factor load coefficient table. by Li Wang (15202)

    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. …”
  8. 148

    Update convergence time of some training times. by Li Wang (15202)

    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. …”
  9. 149

    Flowchart of VMD optimization in SSA. by Huiqiang Su (18405484)

    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). …”
  10. 150

    Overnight technician routing and scheduling problem with time windows and balanced workloads: a bi-objective zebra optimization algorithm by Abolfazl Gharaei (21803416)

    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’. …”
  11. 151

    Schematic diagram of feature template extraction. by Zhigang Song (113445)

    Published 2025
    “…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
  12. 152

    HE_FaceNet error rate. by Zhigang Song (113445)

    Published 2025
    “…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
  13. 153

    Flow chart of system ciphertext clustering. by Zhigang Song (113445)

    Published 2025
    “…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
  14. 154

    HE_FaceNet frame diagram. by Zhigang Song (113445)

    Published 2025
    “…The framework first utilizes a pre-trained model to extract facial feature templates, which are then encrypted. …”
  15. 155
  16. 156

    Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer by Patrick Ettenhuber (1619833)

    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. …”
  17. 157

    Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer by Patrick Ettenhuber (1619833)

    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. …”
  18. 158

    Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer by Patrick Ettenhuber (1619833)

    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. …”
  19. 159

    Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer by Patrick Ettenhuber (1619833)

    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. …”
  20. 160

    Solution results of different algorithms. by Meilin Zhu (688698)

    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. …”