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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
    “…The resource allocation problem is modeled as a graph that can be used by the ant to deliver its pheromone. …”
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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
    “…The resource allocation problem is modelled as a graph that can be used by the ant to deliver its pheromone.This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid resource management element. …”
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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
    “…Managing resources in grid computing system is complicated due to the distributed and heterogeneous nature of the resources.Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources which lead to the resources having high workload or the time taken to process a job is high.This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system.The algorithm consists of three new mechanisms that organize the work of an ant colony i.e. initial pheromone value mechanism, resource selection mechanism and pheromone update mechanism.The resource allocation problem is modeled as a graph that can be used by the ant to deliver its pheromone.This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid resource management element.The proposed EACO algorithm takes into consideration the capacity of resources and the characteristics of jobs in determining the best resource to process a job.EACO selects the resources based on the pheromone value on each resource which is recorded in a matrix form.The initial pheromone value of each resource for each job is calculated based on the estimated transmission time and execution time of a given job. …”
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    Monograph
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  4. 4
    Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm

    Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm by Abed, S.A., Rais, H.M.

    Published 2020
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  5. 5
    On some packing and partition problems in geometric graphs

    On some packing and partition problems in geometric graphs by Trao, Hazim Michman

    Published 2018
    “…Graph packing problem refers to the problem of finding maximum number of edge-disjoint copies of a fixed subgraph in a given graph G. …”
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  6. 6
    Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing

    Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing by Ch'ng, Heng Sun

    Published 2007
    “…Many challenging problems in Very Large-Scale Integration (VLSI) physical design automation are modeled using graphs. …”
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  7. 7
    The graph heuristic with great deluge algorithm to solve the ITC2007 examination timetabling problem

    The graph heuristic with great deluge algorithm to solve the ITC2007 examination timetabling problem by Chuan, Wei Kiat

    Published 2014
    “…The graph heuristic with great deluge algorithm will be used to solve this problem. …”
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    Undergraduates Project Papers
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  8. 8
    Branch and bound algorithm for finding the maximum clique problem

    Branch and bound algorithm for finding the maximum clique problem by Suyudi, M., Sukono, ., Mamat, M., Bon, A.T.

    Published 2018
    “…We present a branch and bound algorithm for the maximum clique problem in arbitrary graphs. …”
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  9. 9
    Graph algorithm vertex coloring

    Graph algorithm vertex coloring by Suyudi, M., Sukono, ., Mustafa, Mamat, Bon, A.T.

    Published 2019
    “…Graph coloring and its generalizations are useful tools in modelling a wide variety of scheduling and assignment problems.…”
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  10. 10
    Heuristic factors in ant system algorithm for course timetabling problem

    Heuristic factors in ant system algorithm for course timetabling problem by Djamarus, Djasli, Ku-Mahamud, Ku Ruhana

    Published 2009
    “…This paper presents an algorithm that is based on ant system to solve the course timetabling problem.The problem is modeled using the bipartite graph.Four heuristic factors are derived from the graph characteristic, are used to direct ants as the agent in finding course timetable elements The concept of negative pheromone was also applied to ensure that paths leading to dead ends are not chosen.The performance of this proposed algorithm is promising when comparison of performance was made with the original ant system algorithm. …”
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  11. 11
    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…Although the swmcan algorithm solves the noise problem in multi-view data, its initial and final graphs are independent and cannot learn from each other. …”
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  12. 12
    Enhancement of Ant System Algorithm for Course Timetabling Problem

    Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

    Published 2009
    “…As the requirement of the Ant System Algorithm, the problem is modeled as a graph that can be used by the ant to deliver its pheromone. …”
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  13. 13
    Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob

    Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob by Yaacob, Siti Hajar

    Published 2014
    “…The main purpose of this research to test whether Genetic Algorithm can use to predict future sales and be able generates the graph. …”
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  14. 14
    Optimizing boarding school schedule using graph coloring: case study of Sekolah Menengah Sultan Abdul Halim / Nur Farhana Mohd Asri

    Optimizing boarding school schedule using graph coloring: case study of Sekolah Menengah Sultan Abdul Halim / Nur Farhana Mohd Asri by Mohd Asri, Nur Farhana

    Published 2022
    “…Greedy Algorithm is used to solve the Vertex Coloring approach meanwhile Graph Coloring Algorithm is used to solve the Edge Coloring approach. …”
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    Research Reports
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  15. 15
    Optimizing boarding school schedule using graph colouring : case study of Sekolah Menengah Sultan Abdul Halim / Nur Farhana Mohd Asri

    Optimizing boarding school schedule using graph colouring : case study of Sekolah Menengah Sultan Abdul Halim / Nur Farhana Mohd Asri by Mohd Asri, Nur Farhana

    Published 2021
    “…Greedy Algorithm is used to solve the Vertex Coloring approach meanwhile Graph Coloring Algorithm is used to solve the Edge Coloring approach. …”
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    Student Project
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  16. 16
    Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences

    Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences by Rajesvary Rajoo R., Salam R.A.

    Published 2024
    journal::journal article
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  17. 17
    An enumerative algorithm for the maximum clique problem

    An enumerative algorithm for the maximum clique problem by Mustafa, Mamat, Suyudi, M., Sukono, ., Bon, A.T.

    Published 2019
    “…Partial enumerative algorithms are presented for maximum clique problems which are very easy to implement. …”
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  18. 18
    Hybrid bat algorithm for minimum dominating set problem

    Hybrid bat algorithm for minimum dominating set problem by Abed, S.A., Rais, H.M.

    Published 2017
    “…Graph domination is one of the NP-Complete problems that cannot be solved exactly in polynomial time. …”
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  19. 19
    Performance analysis of graph heuristics and selected trajectory metaheuristics on examination timetable problem

    Performance analysis of graph heuristics and selected trajectory metaheuristics on examination timetable problem by Mandal, Ashis Kumar, Mohd Nizam Mohmad, Kahar

    Published 2020
    “…Experimental results indicate that hybrid graph heuristics produce the best initial solutions across both these benchmark problems. …”
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  20. 20
    Image matching using relational graph representation

    Image matching using relational graph representation by Lai, Chui Yen

    Published 2005
    “…Feature-based matching algorithm cannot tackle the problem of matching ambiguities easily. …”
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