Search Results - (( developing permutation selection algorithm ) OR ( java application optimisation algorithm ))

Search alternatives:

  • Showing 1 - 8 results of 8
Refine Results
  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Systematic literature review: Trend analysis on the design of lightweight block cipher

    Systematic literature review: Trend analysis on the design of lightweight block cipher by Abdul Alif Zakaria, Azni Hazlizan Ab Halim, Farida Hazwani Mohd Ridzuan, Nur Hafiza Zakaria, Maslina Daud

    Published 2024
    journal::journal article
    Save to List
    Saved in:
  3. 3
    Modified Neh Heuristic On Makespan Reduction In Permutation Flow Shop Problems

    Modified Neh Heuristic On Makespan Reduction In Permutation Flow Shop Problems by Chong, Zheng Ziao

    Published 2015
    “…Throughout the past 30 years, the NEH heuristics developed by Nawaz, Enscore and Ham has been commonly regarded as the best heuristic for minimizing the makespan in permutation flow shops. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    A new starter sets generation method by fixing any element under exchange restriction

    A new starter sets generation method by fixing any element under exchange restriction by Karim, Sharmila, Ibrahim, Haslinda, Omar, Zurni, Sapiri, Hasimah

    Published 2016
    “…A new method is developed for starter sets generation namely STARSET2 based on exchange where any element can be selected randomly to be fixed.The result showed that no redundancy of starter sets is occurring and no equivalence starter sets are obtained.…”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches

    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches by Mohd Pauzi, Nur Fazlinda

    Published 2015
    “…The main objective of this research is to develop a computer program with capability of manipulating the onlooker bee approaches in ABC Algorithm for solving flowshop scheduling problem. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    A new method for starter sets generation by fixing any element

    A new method for starter sets generation by fixing any element by Karim, Sharmila, Ibrahim, Haslinda, Sapiri, Hasimah

    Published 2015
    “…A new method is developed for starter sets generation namely STARSET1 based on circular where any element can be selected randomly to be fixed. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  7. 7
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study

    Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study by Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida

    Published 2024
    “…Feature importance was determined using the permutation-feature importance for robust comparison across ML algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: