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  1. 1
    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
    “…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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  2. 2
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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  3. 3
    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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  4. 4
    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar

    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar by Mohamed Azhar, Nur Afiqah

    Published 2019
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  5. 5
    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 order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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  6. 6
    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai

    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai by Fauzai, Norisyani

    Published 2021
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  7. 7
    Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain

    Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain by Mohamad Zain, Muhammad Asyraf

    Published 2020
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  8. 8
    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach

    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

    Published 2001
    “…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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  9. 9
    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong

    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

    Published 2018
    “…The demands in SIRP are modeled by some probability functions and due to the stochastic nature of customer demands, the service levels constraint where it limits the stock out probability at each customer and the probability of overfilling the stock of each customer is introduced in this study. …”
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  10. 10
    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat

    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

    Published 2020
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  11. 11
    The child tracker using location awareness / Muhammad Idham Amdan

    The child tracker using location awareness / Muhammad Idham Amdan by Amdan, Muhammad Idham

    Published 2017
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  12. 12
    Enhancing Power System Resilience Through Evolutionary Programming for High Impact Low Probability Events

    Enhancing Power System Resilience Through Evolutionary Programming for High Impact Low Probability Events by Zakaria F., Musirin I., Kamari N.A.M., Aminuddin N., Johari D., Shaaya S.A., Bajwa A.A., Kumar A.V.S.

    Published 2025
    “…This paper presents enhancing power system resilience through evolutionary programming for high-impact low probability (HILP) events. …”
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  13. 13
    A nonstandard optimal control problem arising in an economics application: for royalty payment with piecewise function

    A nonstandard optimal control problem arising in an economics application: for royalty payment with piecewise function by Wan Ahmad, Wan Noor Afifah

    Published 2018
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  14. 14
    Comparative analysis of web-based programs for single amino acid substitutions in proteins

    Comparative analysis of web-based programs for single amino acid substitutions in proteins by Arunabh Choudhury, Taj Mohammad, Farah Anjum, Alaa Shafie, Indrakant K. Singh, Bekhzod Abdullaev, Pasupuleti Visweswara Rao, Mohd Adnan, Dharmendra Kumar Yadav, Md. Imtaiyaz Hassan

    Published 2022
    “…In recent years, developments in existing programs and the introduction of new prediction algorithms have transformed the state-of-the-art protein mutation analysis. …”
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  15. 15
    Car recognition using Bayes Classifier / Nur Atiqah Mat Samadi

    Car recognition using Bayes Classifier / Nur Atiqah Mat Samadi by Mat Samadi, Nur Atiqah

    Published 2017
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  16. 16
    Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain

    Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain by Roslee, Muhammad Sharifuddin

    Published 2022
    “…Below is the comparison of the fitness value among 20 metaheuristics algorithms run through Python programming.…”
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  17. 17
    Optimal assignments of versions to processors in fault-tolerant computer systems

    Optimal assignments of versions to processors in fault-tolerant computer systems by Leow, Soo Kar, McAllister, David F.

    Published 1988
    “…For voting system, k must be at least 2 and, in this case the objective function is non-linear. This implies that linear assignment algorithms cannot be used to obtain the optimal assignment. …”
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  18. 18
    Nonparametric predictive inference forest fire dashboard

    Nonparametric predictive inference forest fire dashboard by Amirah Hazwani, Roslin, Noryanti, Muhammad

    Published 2024
    “…It also included a predictive function using the R programming language software as its main task. …”
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  19. 19
    SpickME: Choosing spectacles prediction system by using multinomial Naïve Bayes / Nurul Nabilah Johari

    SpickME: Choosing spectacles prediction system by using multinomial Naïve Bayes / Nurul Nabilah Johari by Johari, Nurul Nabilah

    Published 2020
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  20. 20
    Vandermonde matrices inversion via synthetic division / Muhammad Aiman Wafi Nazri, Wan Muhammad Sirhan Razali and Nur Khairani Izzati Abdul Kadir

    Vandermonde matrices inversion via synthetic division / Muhammad Aiman Wafi Nazri, Wan Muhammad Sirhan Razali and Nur Khairani Izzati Abdul Kadir by Wafi Nazri, Muhammad Aiman, Razali, Wan Muhammad Sirhan, Abdul Kadir, Nur Khairani Izzati

    Published 2023
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