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Showing 1 - 20 results of 3,608 for search '(( algorithm where function ) OR ( algorithm design function ))', query time: 0.26s Refine Results
  1. 1
    Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered.

    Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered. by Zhengtian Li (5076704)

    Published 2025
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  2. 2
    Algorithm parameter setting.

    Algorithm parameter setting. by Tianrui Zhang (2294542)

    Published 2023
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  3. 3
    Algorithm parameter setting.

    Algorithm parameter setting. by Tianrui Zhang (2294542)

    Published 2023
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  4. 4
    Membership function of each target.

    Membership function of each target. by Tianrui Zhang (2294542)

    Published 2023
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  5. 5
    Convergence curve of each test function.

    Convergence curve of each test function. by Tianrui Zhang (2294542)

    Published 2023
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  6. 6
    Flowchart of the study design, where we can see the camera acquisition, the expert observing the subjects, and the process till the final system outcome classification.

    Flowchart of the study design, where we can see the camera acquisition, the expert observing the subjects, and the process till the final system outcome classification. by Jindřich Adolf (17334216)

    Published 2023
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  7. 7
    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer

    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    Published 2025
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  8. 8
    A synthetic biology approach for the design of genetic algorithms with bacterial agents

    A synthetic biology approach for the design of genetic algorithms with bacterial agents by A. Gargantilla Becerra (8734841)

    Published 2022
    “…<div>Bacteria have been a source of inspiration for the design of evolutionary algorithms. We introduce the designing of evolutionary algorithms where all the steps are conducted by synthetic bacteria. …”
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  9. 9
    Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions.

    Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions. by Boris Almonacid (4110337)

    Published 2024
    “…</p><p dir="ltr"><b>Objectives</b></p><ul><li>Solve Many-Affine BBOB Functions using a Deterministic Algorithm.</li></ul><p dir="ltr"><b>Limitations</b></p><ul><li>This algorithm is designed for Many-Affine BBOB problems of 2 and 5 dimensions.…”
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  10. 10
    Showing the Quantum Mechanics-based Density Functional Theory optimisation of 3-1-BCMIYPPA where different energy levels are shown in different colours.

    Showing the Quantum Mechanics-based Density Functional Theory optimisation of 3-1-BCMIYPPA where different energy levels are shown in different colours. by Mohammed Ali Alshehri (11707406)

    Published 2024
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  11. 11
    The GOR4 and SOPMA algorithm findings.

    The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

    Published 2024
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  12. 12
    Performance of the three algorithms.

    Performance of the three algorithms. by Juanjuan Lin (2096830)

    Published 2024
    “…An integrated framework based on a novel genetic algorithm and the Frank—Wolfe algorithm is designed to solve the stochastic model. …”
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  13. 13
    Performance as a function of the number of algorithm executions for the full-sized matrix design.

    Performance as a function of the number of algorithm executions for the full-sized matrix design. by Jörg Felder (5848541)

    Published 2020
    “…<p>Performance as a function of the number of algorithm executions for the full-sized matrix design.…”
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  14. 14
    Algorithm comparison results of gear design problem.

    Algorithm comparison results of gear design problem. by Yu-Jun Zhang (185411)

    Published 2022
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  15. 15
    The comparison results of all algorithms over 30 functions.

    The comparison results of all algorithms over 30 functions. by Adel Saad Assiri (9962517)

    Published 2021
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  16. 16
    The comparison results of all algorithms over 30 functions.

    The comparison results of all algorithms over 30 functions. by Adel Saad Assiri (9962517)

    Published 2021
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  17. 17
    The algorithm is designed to identify patterns in the treatment dataset.

    The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

    Published 2025
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  18. 18
    The 10 features captured by persistence fingerprint.

    The 10 features captured by persistence fingerprint. by Yuxi Long (11024307)

    Published 2025
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  19. 19
    Research efforts in designing reward function for the AD problem with different criteria.

    Research efforts in designing reward function for the AD problem with different criteria. by Nesma M. Ashraf (10954037)

    Published 2021
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  20. 20
    Two protein-ligand complexes shown with their persistence fingerprint.

    Two protein-ligand complexes shown with their persistence fingerprint. by Yuxi Long (11024307)

    Published 2025
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