Search alternatives:
guided optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a guided » ai guided (Expand Search), a guide (Expand Search), ct guided (Expand Search)
Showing 1 - 20 results of 649 for search '(( less based based optimization algorithm ) OR ( binary a guided optimization algorithm ))', query time: 0.76s Refine Results
  1. 1
    Transient response of different algorithms-based 2-DOF PIDA controllers.

    Transient response of different algorithms-based 2-DOF PIDA controllers. by Erdal Eker (19251018)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Steady-state response of different algorithms based 2-DOF PIDA controllers.

    Steady-state response of different algorithms based 2-DOF PIDA controllers. by Erdal Eker (19251018)

    Published 2025
    Save to List
    Saved in:
  3. 3
    Performance of traditional ML algorithms for optimal offloading scheme.

    Performance of traditional ML algorithms for optimal offloading scheme. by Shehr Bano (20421706)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  4. 4
    Performance of different ensemble algorithms for optimal partitioning policy.

    Performance of different ensemble algorithms for optimal partitioning policy. by Shehr Bano (20421706)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  5. 5
    Performance of traditional ML algorithms for optimal partitioning scheme.

    Performance of traditional ML algorithms for optimal partitioning scheme. by Shehr Bano (20421706)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  6. 6
    Performance of different ensemble algorithms for optimal offloading policy.

    Performance of different ensemble algorithms for optimal offloading policy. by Shehr Bano (20421706)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  7. 7
    Time domain performance metrics of different algorithms based 2-DOF PIDA controllers.

    Time domain performance metrics of different algorithms based 2-DOF PIDA controllers. by Erdal Eker (19251018)

    Published 2025
    Save to List
    Saved in:
  8. 8
    Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks.

    Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

    Published 2025
    Save to List
    Saved in:
  9. 9
    The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization

    The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization by James A. Lumley (9464878)

    Published 2020
    “…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …”
    Save to List
    Saved in:
  10. 10
    The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization

    The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization by James A. Lumley (9464878)

    Published 2020
    “…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …”
    Save to List
    Saved in:
  11. 11
    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement

    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

    Published 2019
    “…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
    Save to List
    Saved in:
  12. 12
    Ranking of Pareto set methods on the Banana dataset based on closeness to the optimal point.

    Ranking of Pareto set methods on the Banana dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

    Published 2024
    Save to List
    Saved in:
  13. 13
    Ranking of Pareto set methods on the USPS dataset based on closeness to the optimal point.

    Ranking of Pareto set methods on the USPS dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

    Published 2024
    Save to List
    Saved in:
  14. 14
    Overall systemic risk in banking networks with different matching algorithms.

    Overall systemic risk in banking networks with different matching algorithms. by Bo Zhu (118038)

    Published 2023
    Save to List
    Saved in:
  15. 15
    Overview of mobile-edge-cloud server-based system.

    Overview of mobile-edge-cloud server-based system. by Shehr Bano (20421706)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  16. 16
    The AD-PSO-Guided WOA LSTM framework.

    The AD-PSO-Guided WOA LSTM framework. by Ahmed M. Elshewey (21463867)

    Published 2025
    “…The capacity to confront and overcome this obstacle is where machine learning and metaheuristic algorithms shine. This study introduces the Adaptive Dynamic Particle Swarm Optimization enhanced with the Guided Whale Optimization Algorithm (AD-PSO-Guided WOA) for rainfall prediction. …”
    Save to List
    Saved in:
  17. 17
    Tuning parameters of PID based on DA, AOA, POA, and GRO.

    Tuning parameters of PID based on DA, AOA, POA, and GRO. by H Abdelfattah (17854644)

    Published 2024
    Save to List
    Saved in:
  18. 18
    A schematic diagram of the distribution of base stations in a city shows that the distribution of base stations is not even, showing a trend of being dense inside and sparse outside.

    A schematic diagram of the distribution of base stations in a city shows that the distribution of base stations is not even, showing a trend of being dense inside and sparse outsid... by Xiaorui Wu (8322705)

    Published 2024
    Save to List
    Saved in:
  19. 19
    Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
    Save to List
    Saved in:
  20. 20
    Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
    Save to List
    Saved in:

Search Tools: