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Showing 1 - 20 results of 115 for search 'multiple object maximization algorithm*', query time: 0.26s Refine Results
  1. 1
    Computing the objective function.

    Computing the objective function. by Xiaochen He (455300)

    Published 2023
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  2. 2
    P-values and frequency trajectories around significant SNPs.

    P-values and frequency trajectories around significant SNPs. by Adam G. Fine (21763286)

    Published 2025
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  3. 3
    Results for the ASIP locus under different selection modes.

    Results for the ASIP locus under different selection modes. by Adam G. Fine (21763286)

    Published 2025
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  4. 4
    Strip plots of inferred against true s for data-matched simulations.

    Strip plots of inferred against true s for data-matched simulations. by Adam G. Fine (21763286)

    Published 2025
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  5. 5
    Frequency trajectory and evidence for non-neutrality at the ASIP locus.

    Frequency trajectory and evidence for non-neutrality at the ASIP locus. by Adam G. Fine (21763286)

    Published 2025
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  6. 6
    Manhattan plot of additive p-values.

    Manhattan plot of additive p-values. by Adam G. Fine (21763286)

    Published 2025
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  7. 7
    Genomic regions identified as significant under <i>additive</i> selection.

    Genomic regions identified as significant under <i>additive</i> selection. by Adam G. Fine (21763286)

    Published 2025
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  8. 8
    Estimating the effective population size .

    Estimating the effective population size . by Adam G. Fine (21763286)

    Published 2025
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  9. 9
    Inference using incorrect selection mode.

    Inference using incorrect selection mode. by Adam G. Fine (21763286)

    Published 2025
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  10. 10
    HMM to infer selection.

    HMM to infer selection. by Adam G. Fine (21763286)

    Published 2025
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  11. 11
    Strip plots of inferred against true s.

    Strip plots of inferred against true s. by Adam G. Fine (21763286)

    Published 2025
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  12. 12
    Confusion matrix when inferring the mode of selection.

    Confusion matrix when inferring the mode of selection. by Adam G. Fine (21763286)

    Published 2025
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  13. 13
    Two-dimensional space of general diploid selection.

    Two-dimensional space of general diploid selection. by Adam G. Fine (21763286)

    Published 2025
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  14. 14
    Accuracy of inference from simulated data.

    Accuracy of inference from simulated data. by Adam G. Fine (21763286)

    Published 2025
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  15. 15
    Manhattan plot of raw p-values at the LCT locus.

    Manhattan plot of raw p-values at the LCT locus. by Adam G. Fine (21763286)

    Published 2025
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  16. 16
    Boxplots for different parameter ranges.

    Boxplots for different parameter ranges. by Adam G. Fine (21763286)

    Published 2025
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  17. 17
    Confusion matrix for the procedure to infer selection mode applied to data-matched simulations.

    Confusion matrix for the procedure to infer selection mode applied to data-matched simulations. by Adam G. Fine (21763286)

    Published 2025
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  18. 18
    Accuracy of inference from data-matched simulations.

    Accuracy of inference from data-matched simulations. by Adam G. Fine (21763286)

    Published 2025
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  19. 19
    Summary of the BRIDES node selection procedure providing the minimum number of nodes required to reach a maximal score, and the number of multiple solutions with the same score for different scenarios and weighted model schemes.

    Summary of the BRIDES node selection procedure providing the minimum number of nodes required to reach a maximal score, and the number of multiple solutions with the same score for... by Cindy Bouchard (6844979)

    Published 2022
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  20. 20
    Comparison of results for multiple car parks.

    Comparison of results for multiple car parks. by Wu Kai (20614663)

    Published 2025
    “…Through computational analysis, this algorithm effectively overcomes the weak local search capability of NAGA-II and efficiently solves multi-objective problems. …”
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