Search Results - (( developing general selection algorithm ) OR ( java evolution optimization algorithm ))

Refine Results
  1. 1

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…This extension of Autometrics for model selection was also developed for multiple equations by integrating it with seemingly unrelated regressions equations (SURE) and estimated using feasible generalized least squares (FGLS), known as SURE-Autometrics algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection by Chia, Yee Shin

    Published 2015
    “…However this feature selection algorithm might be unstable due to the stochastic property of GA. …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    SURE-Autometrics algorithm for model selection in multiple equations by Norhayati, Yusof

    Published 2016
    “…Thus, this study aims to develop an algorithm for model selection in multiple equations focusing on seemingly unrelated regression equations (SURE) model. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10
  11. 11
  12. 12

    Development of genetic algorithm-based fuzzy rules design for metal cutting data selection by Wong, S.V, Hamouda, A.M.S

    Published 2002
    “…The authors have developed fuzzy models for machinability data selection (Int. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13
  14. 14
  15. 15

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…However, the developed algorithms only consider the selected features from a peak model based on the understanding of the EEG signals characteristics. …”
    Get full text
    Get full text
    Get full text
    Thesis
  16. 16

    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
    Get full text
    Get full text
    Thesis
  17. 17
  18. 18
  19. 19
  20. 20