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Showing 1 - 20 results of 10,157 for search '(((( algorithm from function ) OR ( algorithm cost function ))) OR ( algorithm fc function ))', query time: 0.61s Refine Results
  1. 1
    Flowchart of proposed fitness function algorithm.

    Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

    Published 2025
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  2. 2
    Cost functions implemented in Neuroptimus.

    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
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  3. 3
    Coarse-fine optimization algorithm.

    Coarse-fine optimization algorithm. by Chao Ma (207385)

    Published 2025
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  4. 4
    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional

    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

    Published 2025
    “…We show that batched formation of the XC matrix from the density matrix yields the best performance for large (>O(103) basis functions), sparse systems such as glycine chains and water clusters. …”
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  5. 5
    Running memory of the algorithms.

    Running memory of the algorithms. by Yanju Zhang (437336)

    Published 2023
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  6. 6
    Selected optimal solutions from the QLNSGA-II algorithm.

    Selected optimal solutions from the QLNSGA-II algorithm. by Zhongfeng Li (3965060)

    Published 2025
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  7. 7
    Flowchart for the Tabu Search Algorithm [43].

    Flowchart for the Tabu Search Algorithm [43]. by Ferhat Yuna (21519851)

    Published 2025
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  8. 8
    Tuned parameters of algorithms.

    Tuned parameters of algorithms. by Kaveh Faraji Googerdchi (18778727)

    Published 2024
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  9. 9
    Comparison of cost obtained from APSO variant-16 and Improved PSO.

    Comparison of cost obtained from APSO variant-16 and Improved PSO. by Muhammad Ahmad Iqbal (11851338)

    Published 2021
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  10. 10
    Mutations of the gene expression fold change (FC) over wildtype.

    Mutations of the gene expression fold change (FC) over wildtype. by Fangzhou Shen (5140994)

    Published 2019
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  11. 11
    Control parameters of the SOMA algorithm.

    Control parameters of the SOMA algorithm. by Quoc Bao Diep (18452207)

    Published 2025
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  12. 12
    Travel costs of the four feasible paths for the same example EV from Node 2 to Node 41.

    Travel costs of the four feasible paths for the same example EV from Node 2 to Node 41. by Fengjie Fu (7314347)

    Published 2019
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  13. 13
    Working scheme of the smooth-index algorithm.

    Working scheme of the smooth-index algorithm. by Alexander Borst (32619)

    Published 2024
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  14. 14
    Example performance of the smooth-index algorithm.

    Example performance of the smooth-index algorithm. by Alexander Borst (32619)

    Published 2024
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  15. 15
    Process of the transformation from the EV-TOP to the EV1-COP and the EV2-SP.

    Process of the transformation from the EV-TOP to the EV1-COP and the EV2-SP. by Fengjie Fu (7314347)

    Published 2019
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  16. 16
    Identification of recurrent synapses by the smooth-index algorithm.

    Identification of recurrent synapses by the smooth-index algorithm. by Alexander Borst (32619)

    Published 2024
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  17. 17
    Performance of the smooth-index algorithm for matrices with different densities.

    Performance of the smooth-index algorithm for matrices with different densities. by Alexander Borst (32619)

    Published 2024
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  18. 18
    Analysis of the limit cases of the sampling function.

    Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

    Published 2022
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  19. 19
    Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs.

    Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

    Published 2025
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  20. 20
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    “…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”
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