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  1. 1
    Smart student timetable planner

    Smart student timetable planner by Wong, Xin Tong

    Published 2025
    “…A Genetic Algorithm forms the core scheduling engine, generating optimized timetables that respect both hard constraints, such as avoiding clashes, and soft constraints, such as personal preferences.The final output of this project is a functional web-based timetable planner that successfully enhances scheduling efficiency, reduces the likelihood of errors, and improves the overall academic planning experience. …”
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    Final Year Project / Dissertation / Thesis
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  2. 2
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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  3. 3
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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  4. 4
    Object Recognition Using Soft Sensors

    Object Recognition Using Soft Sensors by Lim, Chu Chen

    Published 2021
    “…Through AI-based object recognition and its high accuracy, this glove provides a promising solution for a low-cost soft sensor solution for the area of soft robotics.…”
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  5. 5
    Development of a Timetabling Software Using Soft-computing Techniques With a Case Study

    Development of a Timetabling Software Using Soft-computing Techniques With a Case Study by Sabri, M.F.M., Husin, M.H., Chai, S.K.

    Published 2010
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  6. 6
    A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution

    A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution by Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

    Published 2018
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  7. 7
    An enhanced soft set data reduction using decision partition order technique

    An enhanced soft set data reduction using decision partition order technique by Mohammed, Mohammed Adam Taheir

    Published 2017
    “…In terms of accuracy, the proposed SSR-BPSO-BBO algorithm outperforms other optimization algorithms by up to 100% in achieving high accuracy percentage of a given soft dataset. …”
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  8. 8
    Solving ump examination timetabling problem using dynamic exploration step counting hill climbing algorithm

    Solving ump examination timetabling problem using dynamic exploration step counting hill climbing algorithm by Chang, Ling Shing

    Published 2022
    “…The work starts by developing a formal mathematical model based on the new constraints and generates a feasible initial solution of the examination timetable that satisfies the hard and soft constraints (as much as possible). …”
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  9. 9
    Fuzzy Soft Set Clustering for Categorical Data

    Fuzzy Soft Set Clustering for Categorical Data by Iwan Tri Riyadi, Yanto, Ani, Apriani, Rofiul, Wahyudi, Cheah, Wai Shiang, Suprihatin, in, Rahmat, Hidayat

    Published 2024
    “…Numerous categorical data using clustering algorithms, for instance, fuzzy k-modes and their enhancements, have been developed to overcome this issue. …”
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  10. 10
    A random search based effective algorithm for pairwise test data generation

    A random search based effective algorithm for pairwise test data generation by Sabira, Khatun, K. F., Rabbi, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2011
    “…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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  11. 11
    Soft computing approach for solving elevator scheduling problem

    Soft computing approach for solving elevator scheduling problem by Norzatul Hajar, Abd Majid

    Published 2010
    “…In order to manipulate the scheduling problem solution, designed and developed simulation software for the optimization of elevator scheduling problem is introduced and presented by using soft computing methodology.…”
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    Final Year Project Report / IMRAD
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  12. 12
    FTMSK invigilation timetabling system (FITS) / Abdul Halim Mat Noh

    FTMSK invigilation timetabling system (FITS) / Abdul Halim Mat Noh by Mat Noh, Abdul Halim

    Published 2005
    “…This combines with the satisfaction constraints of hard and soft constraints to get to the optimal solutions. …”
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  13. 13
    Scalable approach for mining association rules from structured XML data

    Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
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  14. 14
    EasyA: Easy and effective way to generate pairwise test data

    EasyA: Easy and effective way to generate pairwise test data by Rabbi, Khandakar Fazley, Sabira, Khatun, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2013
    “…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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  15. 15
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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  16. 16
    Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif

    Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif by Jantan, Hamidah, Mat Yusof, Norazmah, Abdul Latif, Mohd Hanapi

    Published 2014
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    Research Reports
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  17. 17
    Development of a scheduling tool for constructing a Malaysian school timetable using genetic algorithms / Salihin Farag Shoeeb

    Development of a scheduling tool for constructing a Malaysian school timetable using genetic algorithms / Salihin Farag Shoeeb by Salihin Farag , Shoeeb

    Published 2003
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  18. 18
    A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem

    A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem by Ramli, Razamin, Abd Rahman, Rosshairy, Rohim, Nurdalila

    Published 2019
    “…Specifically, three main phases were involved in developing the hybrid model, which are generating an initial roster, updating the roster through the ACO algorithm, and implementing the hill climbing to further search for a refined solution. …”
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  19. 19
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  20. 20
    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…This thesis aims to apply soft computing techniques including fuzzy logic, neural network and genetic algorithm on different aspects of flood modeling including hydrological homogeneity and flood prediction in southern Caspian Sea Watersheds. …”
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