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  1. 1
    Optimisation of multi-stage production-inspection stations using genetic algorithm

    Optimisation of multi-stage production-inspection stations using genetic algorithm by Hassan, Azmi, Pham, Duc Trung

    Published 2000
    “…The optimisation tool to be considered is Genetic Algorithm (GA). An introduction to the concepts of the GA and its encoding of the solutions to the problems in a genetic form and the evaluation of the resulting genetic code to give the fitness of those solutions will be discussed. …”
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  2. 2
    An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town

    An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town by Nor Rafidah, Mohamad

    Published 2005
    “…Both algorithms are compared. Simulation is used as a method in this study. …”
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  3. 3
    An application of backtracking search algorithm in designing power system stabilizers for large multi-machine system

    An application of backtracking search algorithm in designing power system stabilizers for large multi-machine system by Islam N.N., Hannan M.A., Shareef H., Mohamed A.

    Published 2023
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  4. 4
    A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources

    A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources by Ahmadipour M., Ali Z., Ramachandaramurthy V.K., Ridha H.M.

    Published 2025
    “…To ensure fair comparisons, parameter configurations for all algorithms are automated using the parameter tuning tool iterated racing (irace). …”
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  5. 5
    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems

    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

    Published 2018
    “…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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  6. 6
    Artificial neural network and inverse solution method for assisted history matching of a reservoir model

    Artificial neural network and inverse solution method for assisted history matching of a reservoir model by Negash, B.M., Vel, A., Elraies, K.A.

    Published 2017
    “…The result of the case study has successfully demonstrated the efficacy of the proposed algorithm for history matching. © Research India Publications.…”
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  7. 7
    Vehicle pick-up and drop-off schedule optimization in a university setting

    Vehicle pick-up and drop-off schedule optimization in a university setting by Teo, Chun Kit

    Published 2024
    “…Extensive experiments validate the algorithm’s effectiveness, optimize parameters, and demonstrate the dynamic handler's ability to manage real-time requests accurately. …”
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    Final Year Project / Dissertation / Thesis
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  8. 8
    Gravitational Search Algorithm based Long Short-term Memory Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction with Uncertainty

    Gravitational Search Algorithm based Long Short-term Memory Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction with Uncertainty by Reza M.S., Hannan M.A., Mansor M., Ker P.J., Tiong S.K., Hossain M.J.

    Published 2024
    Conference Paper
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  9. 9
    Computational dynamic support model for social support assignments around stressed individuals among graduate students

    Computational dynamic support model for social support assignments around stressed individuals among graduate students by Al-Shorman, Roqia Rateb

    Published 2020
    “…The algorithm complexity analysis was used to measure the execution time in the worst case. …”
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  10. 10
    Convective boundary layer flow of brinkman-viscoelastic fluid over a bluff body

    Convective boundary layer flow of brinkman-viscoelastic fluid over a bluff body by Siti Farah Haryatie, Mohd Kanafiah

    Published 2023
    “…To validate the model for all problems, numerical values from current and earlier reports were compared in a particular case. The solutions were conveniently evaluated by observing the plotted graphs in order to capture the propensity of the fluid’s behaviour in response to the adjusting parameters. …”
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  11. 11
    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm

    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm by Molamohamadi, Zohreh

    Published 2015
    “…In order to evaluate the solutions of the hybrid algorithm, the models are also solved by a global optimization solver,Branch-And-Reduce Optimization Navigator (BARON). …”
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  12. 12
    Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates

    Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates by Yusuf, Madaki Umar

    Published 2017
    “…In this thesis, we considered two methods via the classical maximum likelihood estimation (MLE) and the Bayes estimation using the Gibbs sampling (G-S) algorithm to estimate the parameters of BKBX, KBX and Beta-Weibull (BWB) models. …”
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  13. 13
    Fuzzy methodologies for automated University timetabling solution construction and evaluation

    Fuzzy methodologies for automated University timetabling solution construction and evaluation by Asmuni, Hishammuddin

    Published 2008
    “…A novel approach, in which fuzzy methods are used to evaluate the end solution quality, separate from the objective functions used in solution generation, represents a significant addition to the literature. …”
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  14. 14
    Study of intraparticle diffusionreaction of substrate for Michaelis–Menten kinetics in a porous slab catalyst

    Study of intraparticle diffusionreaction of substrate for Michaelis–Menten kinetics in a porous slab catalyst by Fakih, Syibli Milasi, Jameel, Ahmed TariQ, Noorbatcha, Ibrahim Ali

    Published 2012
    “…The approximate solution shows close agreement (error about less than 10%) with the numerical solution within the range of parameters of practical significance such as Thiele modulus values up to 8. …”
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    Proceeding Paper
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  15. 15
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
    thesis::doctoral thesis
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  16. 16
    Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller

    Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller by Zaridah, Mat Zain

    Published 2010
    “…It is observed that the APFLC showed convincing performance over the entire simulation of the Pico-satellite. Genetic Algorithm (GA) is a computational model inspired by evaluation. …”
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  17. 17
    Risk assessment of dengue in Betong Sarawak using simple mathematical model

    Risk assessment of dengue in Betong Sarawak using simple mathematical model by Gunap, Timothy

    Published 2020
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    Student Project
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  18. 18
    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing

    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

    Published 2015
    “…In many cases, improper tuning of specific parameters undesirably yields suboptimal solution. …”
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  19. 19
    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…In the first sub-algorithm, the state mean propagation removes the Gaussian white noise to obtain the expected solution. …”
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  20. 20
    An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways

    An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways by Ahmad Muhaimin, Ismail, Mohd Saberi, Mohamad, Hairudin, Abdul Majid, Khairul Hamimah, Abas, Safaai, Deris, Zaki, Nazar, Siti Zaiton, Mohd Hashim, Zuwairie, Ibrahim, Muhammad Akmal, Remli

    Published 2017
    “…However, measuring these parameters is typically difficult and even impossible in some cases. …”
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