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  1. 1

    Development of Genetic Algorithm Procedure for Sequencing Problem in Mixed-Model Assembly Lines by Noroziroshan, Alireza

    Published 2009
    “…In this research, an effective utilization of mixed-model assembly line is considered as problem statement through implementing different production strategies. …”
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    Thesis
  2. 2

    Dynamic traffic scheduling and resource reservation algorithms for output-buffered switches by Subramaniam, Shamala

    Published 2002
    “…Scheduling algorithms implemented in Internet switches have been dominated by the best-effort and guaranteed service models. …”
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    Thesis
  3. 3

    Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor by Hussain, Mohd Azlan, Kershenbaum, L.S.

    Published 2000
    “…This paper describes a novel implementation of a neural network inverse-model based control method on a experimental system-a partially simulated reactor, designed to test the use of such non-linear algorithms. …”
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    Article
  4. 4

    An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

    Published 2004
    “…The first controller design is formulated so as to allow on-line modeling, controller design and implementation and thus, yield a self-tuning control algorithm. …”
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    Thesis
  5. 5

    Application of artificial neural network genetic algorithm in inferential estimation and control of a distillation column by Chen, Wah Sit

    Published 2005
    “…When implemented on-line, GA-based ANN model was proved to be more efficient. …”
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    Thesis
  6. 6

    Model predictive control on fed-batch penicillin fermentation process by Chew, Li Mei

    Published 2009
    “…In this research study the development of optimization strategies for a fed-batch penicillin fermentation process using model predictive controller was simulated using MATLAB 7.1 software. …”
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    Undergraduates Project Papers
  7. 7

    Simulation and experimental implementation of a neural-network-based internal-model control strategy on a reactor system by Hussain, Mohd Azlan, Kershenbaum, L.S.

    Published 1999
    “…The use of inverse-model-based control strategy for nonlinear system has been increasing lately. …”
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    Article
  8. 8

    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
    “…Finally, a control strategy implementing the developed froth model and prediction system was introduced for direct optimization of metallurgical parameters. …”
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    Thesis
  9. 9

    Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

    Published 2011
    “…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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    Thesis
  10. 10

    Interactive framework for dynamic modelling and active vibration control of flexible structures by Mat Darus, Intan Zaurah, Mohd. Hashim, Siti Zaiton, Tokhi, M. O.

    Published 2008
    “…The design and implementation of the interactive learning system incorporating the simulation algorithms, modelling and control strategies, are developed using MATLAB. …”
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    Article
  11. 11

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan Yin Keong, Tan Yin

    Published 2012
    “…As well, in the second part, we are focused on investigating effective implementation strategies of the model formulation and solution strategy in Karuppiah et al. (2008) using our choice of the modeling platform GAMS and the best numerical solvers that are available. …”
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    Final Year Project
  12. 12

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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    Thesis
  13. 13
  14. 14

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan , Yin Keong

    Published 2009
    “…As well, in the second part, we are focused on investigating effective implementation strategies of the model formulation and solution strategy in Karuppiah et al. (2008) using our choice of the modeling platform GAMS and the best numerical solvers that are available. …”
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    Final Year Project
  15. 15
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  17. 17

    Implementation of generalized predictive control (GPC) for a real-time process control using labview by Mohd. Faudzi, Ahmad 'Athif

    Published 2006
    “…Selection of control approaches has also been reviewed to adapt with these real-time issues apart from other strategies. In this research, a predictive algorithm namely Generalized Predictive Control will be evaluated in real-time by applying LabVIEW software as tools for algorithm implementation. …”
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    Thesis
  18. 18

    The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman by Kamarulzaman, Nur Amalina

    Published 2018
    “…The main objectives of this study are to identify the current business process and business strategy of Corm Cafe, to propose menu association model using market basket analysis techniques and to visualize the result based on the proposed model. …”
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    Thesis
  19. 19

    Model predictive control of vaporizer in vinyl acetate monomer process by Mohd Sharizan, Md Sarip

    Published 2008
    “…The MPC algorithm is implemented to the control loop by using Simulink/MATLAB 7.0. …”
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    Undergraduates Project Papers
  20. 20

    Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman by Abdurahman, Nur Athirah

    Published 2023
    “…Early and accurate sales predictions can significantly impact decision-making processes, allowing organizations to allocate resources effectively and enhance overall marketing strategies. The methodology employed in this project involves the implementation of the Linear Regression algorithm, a statistical modeling technique that analyzes the relationship between advertising expenditure and sales. …”
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    Thesis