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  1. 1
    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
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. 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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  2. 2
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization. …”
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    Monograph
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  3. 3
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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    Monograph
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  4. 4
    Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python

    Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python by Arifin, Samsul, Muktyas, Indra Bayu, Al Maki, Wikky Fawwaz, Mohd Khairul Bazli, Mohd Aziz

    Published 2022
    “…The researchers develop a graph coloring algorithm by considering some of the graph vertices to be binary numbers. …”
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  5. 5
    Application of computer based simulation in gas network system using graph theory algorithms and numerical methods

    Application of computer based simulation in gas network system using graph theory algorithms and numerical methods by Poh, Hong Hwee

    Published 2007
    “…The objectives of this research are to determine the fastest graph theory algorithm , and to determine the fastest and the most accurate numerical method, in the development of gas network computer simulator. …”
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  6. 6
    An improved algorithm for channel allocation on direct sequence spread spectrum

    An improved algorithm for channel allocation on direct sequence spread spectrum by Handrizal, M

    Published 2011
    “…Meanwhile between the VMA and Dsatur algorithm in the complex graph is equivalent to 18.1%.However,VMA and Welsh Powell algorithm is not compared in the complex graph since its drawback in terms of not fulfill the graph coloring concept.This is because there are two adjacent vertices have the same color.Overall, even there is no reduction for number of required channel among VMA,Dsatur algorithm and Welsh Powell algorithm in the simple graph,but the outstanding significant contribution of VMA since it has reduction in the complex graph.…”
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  7. 7
    Laser simulator: a novel search graph-based path planning approach

    Laser simulator: a novel search graph-based path planning approach by Ali, Mohammed A. H., Musa, Mailah

    Published 2018
    “…A novel technique called laser simulator approach for visibility search graph-based path planning has been developed in this article to determine the optimum collision-free path in unknown environment. …”
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  8. 8
    Scalable workflow scheduling algorithm for minimizing makespan and failure probability

    Scalable workflow scheduling algorithm for minimizing makespan and failure probability by Abdul Aziz, Maslina, Ninggal, Izuan Hafez

    Published 2019
    “…A simulation-driven analysis based on realistic workflow application was demonstrated using DAG graph as a continuation of the Layered Workflow Scheduling Algorithm (LWFS). …”
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  9. 9
    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]

    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.] by Ismail, Razidah, Ahmad, Tahir, Harish, Noor Ainy, A. Halim, Rosenah

    Published 2011
    “…The initial phase involved the development of the FSSM of the superheater system. In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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    Research Reports
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  10. 10
    Modeling of static and dynamic components of bio-nanorobotic systems

    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
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  11. 11
    An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm

    An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm by Mr, Handrizal, Mr, Muhammad Zarlis, Noraziah, Ahmad, Abdalla, Ahmed N.

    Published 2012
    “…A series of experiment was carried out by using one computer. Vertex Merge Algorithm (VMA) simulation is developed under Linux platform. …”
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  12. 12
    Quantum Processing Framework And Hybrid Algorithms For Routing Problems

    Quantum Processing Framework And Hybrid Algorithms For Routing Problems by Soltan Aghaei, Mohammad Reza

    Published 2010
    “…Another quantum algorithm for a minimum weight spanning tree in the graph was also designed. …”
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  13. 13
    Discrete simulation framework for wireless cellular networks.

    Discrete simulation framework for wireless cellular networks. by Al-Sanabani, Maher Ali, K. Subramaniam, Shamala, Othman, Mohamed, Ahmad Zulkarnain, Zuriati

    Published 2008
    “…The performance of the developed simulator compared with the performance characteristics of existing algorithms. …”
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  14. 14
    Benchmark simulator with dynamic environment for job scheduling in grid computing

    Benchmark simulator with dynamic environment for job scheduling in grid computing by Ku-Mahamud, Ku Ruhana

    Published 2014
    “…Characteristics of jobs and resources to be used in evaluating the performance of the scheduling algorithm must reflect the dynamic nature of real grid environment.Static models of jobs and resources cannot be used to generate jobs and resources in simulating the grid environment because of the dynamic nature of the grid.This paper presents a new graph representation of jobs and resources which is practical for hybrid metaheuristic model implementation such as ant colony optimization and genetic algorithm.A dynamic model that can generate jobs and resources similar to the jobs and resources in the real grid environment is also proposed.Jobs and resources may join in or drop out from the grid.Stochastic analysis is performed on the characteristics of jobs and resources.A simulator based on the dynamic expected time to compute, has been developed and can be used as a benchmark.The simulator can generate jobs and resources with the characteristics of jobs and resources in the real grid environment.This will facilitates the evaluation of dynamic job scheduling algorithm.…”
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  15. 15
    Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms

    Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms by Raal Mandour, Raal

    Published 2013
    “…Flowcharts are developed and simulation tools are identified. MATLAB simulations are shown and resulting graph and efficiencies under several irradiance values are specified along with comparison with the previously achieved performance of MPPT algorithms and different set of Data.…”
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    Final Year Project
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  16. 16
    Implementation of laser simulator in robot path determination

    Implementation of laser simulator in robot path determination by Zenas, Chung Han Yuan

    Published 2016
    “…From this research, the laser simulator has advantages in computational time and low collision possibility compare with A* algorithm while the path cost of laser simulator is always greater than path cost of A* algorithm.…”
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    Undergraduates Project Papers
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  17. 17
    Development of mobile robot and localization system

    Development of mobile robot and localization system by Juhari, Khairul Anuar

    Published 2014
    “…Then, the same algorithms are put on the hardware and the experiment runs same as in simulations. …”
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  18. 18
    A Single Objective Flower Pollination Algorithm for Modeling the Horizontal Flexible Plate System

    A Single Objective Flower Pollination Algorithm for Modeling the Horizontal Flexible Plate System by Siti Zakiah, Maseri, Muhamad Sukri, Hadi, Annisa, Jamali, Hanim, Mohd Yatim, Mat Hussin, Ab Talib, Intan Zaurah, Mat Darus

    Published 2020
    “…The performance of the developed model was then compared with the conventional algorithm known as recursive least square (RLS). …”
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    Proceeding
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  19. 19
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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  20. 20
    Global Mobile Robot Path Planning using Laser Simulator

    Global Mobile Robot Path Planning using Laser Simulator by Ali, Mohammed A. H., Wan Azhar, Wan Yusoff, Zamzuri, Hamedon, Zulkifli, Md. Yusof, Musa, Mailah

    Published 2017
    “…The developed laser simulator is implemented successfully in these environments and the simulation results are compared with the classical A* algorithm. …”
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