Search Results - candidate optimisation algorithm

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  1. 1

    Hybrid genetic algorithm for uncapacitated university examination timetabling problem by Ishak, Suhada

    Published 2015
    “…The main components of the genetic operators in a Genetic Algorithm (GA) will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). …”
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    Thesis
  2. 2

    Hybrid genetic algorithm for university examination timetabling problem by Ishak, Suhada, Lee, Lai Soon, Ibragimov, Gafurjan

    Published 2016
    “…The main components of the genetic operators in a GA will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). The PGA will then hybridised with three new local optimisation techniques, which will make up the HGA; to improve the solutions found. …”
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    Article
  3. 3

    A competitive co-evolutionary approach for the nurse scheduling problem by Mohamad Nazri, Maizatul Farhana, Mohd Yusoh, Zeratul Izzah, Basiron, Halizah, Daud, Azlina

    Published 2026
    “…The Nurse Scheduling Problem (NSP) is a constrained combinatorial optimisation problem that plays a critical role in healthcare scheduling and constraint optimisation. …”
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    Article
  4. 4

    Prescription: Issue No. 7 (July 2024) by UiTM, Faculty of Pharmacy

    Published 2024
    “…In pharmaceutical research, ML accelerates the identification of potential drug candidates, improves design optimisation, and increases research efficiency. …”
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    Monograph
  5. 5

    Revolutionising pharmacy through machine learning: the progress and perils / Yuslina Zakaria by Zakaria, Yuslina

    Published 2024
    “…In pharmaceutical research, ML accelerates the identification of potential drug candidates, improves design optimisation, and increases research efficiency. …”
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    Article
  6. 6

    An enhanced discrete symbiotic organism search algorithm for optimal task scheduling in the cloud by Sa’ad, Suleiman, Muhammed, Abdullah, Abdullahi, Mohammed, Abdullah, Azizol, Ayob, Fahrul Hakim

    Published 2021
    “…Our proposed algorithm is an extension of the standard symbiotic organism search (SOS), a nature-inspired algorithm that has been implemented to solve various numerical optimisation problems. …”
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  7. 7
  8. 8

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

    Published 2015
    “…Secondly, an expert system using Java programming technology with two tiers of search engine was developed to perform a fast selection of candidate materials in huge volume. The weighted-range method (WRM) was introduced to identify the range value and to scrutinize the candidate materials in the selection process. …”
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    Thesis
  9. 9

    Efficient and secured compression and steganography technique in wireless sensor network by Tuama, Ammar Yaseen

    Published 2016
    “…Furthermore, some analyses on hiding quality show that our algorithm retains the cover image quality as high as that of standard LSB algorithm. …”
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  10. 10

    Adaptive beamforming of steerable array monopole antenna for WLAN application by Amer Asem, Abdullah

    Published 2018
    “…The proposed approach can be considered a fast and significant candidate for new generation of smart communication WLAN applications.…”
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  11. 11

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…The algorithms were examined on two real datasets, namely, NSL-KDD and Landsat. …”
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  12. 12

    Optimal timber transportation planning in tropical hill forest using bees algorithm by Jamaluddin, Jamhuri

    Published 2022
    “…Given the finding of this study, the optimisation of the BA model has a better performance than the current practice of forest road planning in Malaysia. …”
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  13. 13

    Efficient reconfigurable architectures for 3-D medical image compression by Ahmad, Afandi

    Published 2010
    “…Despite their advantages, most 3-D medical imaging algorithms are computationally intensive with matrix transformation as the most fundamental operation involved in the transform-based methods. …”
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    Thesis