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  1. 1
    Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm

    Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm by Khoo, Thau Soon

    Published 2022
    “…Therefore, it brings a significant contribution if this study can be carried out because it represents the daily real-life problem in transportation. To solve this problem, it needs to be modelled and an algorithm is needed to be developed and tested to ascertain its efficiency and effectiveness. …”
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  2. 2
    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty

    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

    Published 2024
    “…Given the NP-Hard nature of the three models proposed in this thesis, two metaheuristic algorithms have been developed. A hybrid Particle Swarm Optimization-Bacterial Foraging Algorithm is developed for solving the single objective LIRP model. …”
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  3. 3
    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network

    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network by Abduh Kaid, Monir Abdullah

    Published 2005
    “…The first approach is to develop an efficient sequential algorithm for the window method. …”
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  4. 4
    Development of an education simulator for particle swarm optimization in solving economic dispatch problems: article / Mohd Hafiz Mat Hussain

    Development of an education simulator for particle swarm optimization in solving economic dispatch problems: article / Mohd Hafiz Mat Hussain by Mat Hussain, Mohd Hafiz

    Published 2009
    “…Development of an Educational Simulator presents a windows-based educational simulator using graphical user interface (GUI) for solving Economic Dispatch (ED) problems. …”
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  5. 5
    Development of an education simulator for particle swarm optimization in solving economic dispatch problems / Mohd Hafiz Mat Hussain

    Development of an education simulator for particle swarm optimization in solving economic dispatch problems / Mohd Hafiz Mat Hussain by Mat Hussain, Mohd Hafiz

    Published 2009
    “…Development of an Educational Simulator presents a windows-based educational simulator using graphical user interface (GUI) for solving Economic Dispatch (ED) problems. …”
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  6. 6
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…Additionally, IPO_Agent not only produces the same PAC’s output results, but also generates module number and represents these results in another window. Finally,Algorithm_Agent employs the extracted information provided by IPO_Agent to produce the pseudo-code of the given problem and shows it in separate window. …”
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  7. 7
    Simulation of identifying shortest path walkway in library by using ant colony optimization

    Simulation of identifying shortest path walkway in library by using ant colony optimization by Chui Teng, Chan

    Published 2012
    “…The system is used to be error free and the algorithm can effectively solve the shortest path problem.…”
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    Undergraduates Project Papers
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  8. 8
    Simulation and Visualization of TSP Using Ant Colony Optimization

    Simulation and Visualization of TSP Using Ant Colony Optimization by Tri Basuki, Kurniawan, Misinem, ., Astried, ., Joan Angelina, Widians

    Published 2023
    “…With Windows as the operating system and the C# programming language in Visual Studio 2019, the program complies with the Extreme Programming (XP) software development method. …”
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  9. 9
    MUD-WEIGHT PREDICTION FOR DEVIATED DRILLING

    MUD-WEIGHT PREDICTION FOR DEVIATED DRILLING by Yusoff, Muhamad Zakwan

    Published 2013
    “…Specifically, the objectives of this project are 1) to develop an algorithm for predicting mud weight in deviated drilling; 2) to solve the governing equation for stresses around the wellbore for deviated drilling and 3) to build an integrated tool kit for different data that are available on the field. …”
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  10. 10
    A new domain decomposition FDTD technique for simulating electromagnetic penetration into buildings

    A new domain decomposition FDTD technique for simulating electromagnetic penetration into buildings by Abd-EI-Raouf, Hany Ehsan

    Published 2005
    “…We developed two techniques for solving the problem of penetration of electromagnetic waves into large buildings. …”
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    Proceeding Paper
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  11. 11
    A windows-based tool for power flow analysis and DG optimisation in radial distribution networks

    A windows-based tool for power flow analysis and DG optimisation in radial distribution networks by Akorede, Mudathir Funsho, Hizam, Hashim, Aris, Ishak, Ab Kadir, Mohd Zainal Abidin, Hojabri, Mojgan

    Published 2011
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  12. 12
    PCB defect detection system using run-length encoding

    PCB defect detection system using run-length encoding by Zakaria, Muhammad Anif

    Published 2017
    “…In order to get the zero defect of the PCB, the automatic inspection has been developed for inspection of PCBs. One of the algorithm that has been built for inspections of PCB is template matching. …”
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  13. 13
    Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi

    Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi by Ahmad Tarmizi, Muhammad Danial

    Published 2020
    “…The algorithm is built using Tensorflow software. The development of the project is based on Waterfall methodology. …”
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  14. 14
    Missing tags detection algorithm for radio frequency identification (RFID) data stream

    Missing tags detection algorithm for radio frequency identification (RFID) data stream by Zainudin, Nur 'Aifaa

    Published 2019
    “…This algorithm development has been guided by methodology in four stages. …”
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  15. 15
    Bi-objective mixed integer nonlinear programming model for low carbon location-inventory-routing problem with time windows and customer satisfaction

    Bi-objective mixed integer nonlinear programming model for low carbon location-inventory-routing problem with time windows and customer satisfaction by Liu, Lihua, He, Aneng, Tian, Tian, Lee, Lai Soon, Seow, Hsin-Vonn

    Published 2024
    “…An improved non-dominated sorting genetic algorithm II (IMNSGA-II) with an elite strategy is developed to solve the model. …”
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  16. 16
    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems

    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems by Nazif, Habibeh

    Published 2010
    “…This thesis focuses on the development of a new stream of crossover within genetic algorithms, called Optimised Crossover Genetic Algorithm (OCGA) for solving combinatorial optimisation problems, which takes into account the objective function in finding the best ofspring solution among an exponentially large number of potential ofspring. …”
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  17. 17
    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems

    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

    Published 2014
    “…The results showed that the parallel algorithms for EHD simulations may provide 4 to 5 times more speedup over sequential algorithm for large grid sizes. …”
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  18. 18
    Improved Stereo Vision Algorithms For Robot Navigation

    Improved Stereo Vision Algorithms For Robot Navigation by Ranjbaran, Ali

    Published 2013
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  19. 19
    Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal

    Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal by Camellia , Mohd Kamal

    Published 2004
    “…For Perception there will be the Description Neuron Model, Perceptron Basic Architecture and perceptron Algorithm with one example of solved problem. For the Feed Forward, Recurrent and Self Organizing Map Networks there are the Neuron Model, Basic Architecture and Training Algorithm. …”
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  20. 20
    A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems

    A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems by Ary, Maxsi

    Published 2025
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