Search Results - (( exploring commitment optimisation algorithm ) OR ( java future generalized algorithm ))

  • Showing 1 - 9 results of 9
Refine Results
  1. 1

    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

    Published 2023
    “…However, due to the drawbacks of the conventional algorithm as well as the heuristic algorithms handling complicated and multi-objective reservoir optimisation, the advantages of the strategy of simultaneous exploration and exploitation led to the decision to utilise meta-heuristic algorithms in this study. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  2. 2

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Dhany, Saputra

    Published 2008
    “…Future research includes exploring the use of separator Database in PrefixSpan with pseudoprojection to improve mining generalized sequential patterns, particularly in handling mining constrained sequential patterns.…”
    Get full text
    Thesis
  3. 3
  4. 4

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
    “…Future research includes exploring the use of separator Database in PrefixSpan with pseudoprojection to improve mining generalized sequential patterns, particularly in handling mining constrained sequential patterns.…”
    Get full text
    Get full text
    Thesis
  5. 5
  6. 6
  7. 7
  8. 8

    An integrated model of automated elementary programming feedback using assisted and recommendation approach by Safei, Suhailan

    Published 2017
    “…Hence, two kinds of assisted feedbacks were proposed; general and specific assisted feedback. These feedbacks were automatically indexed using general program features and specific statement pattern rule for automated retrieval on general and specific recommended feedbacks respectively. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9