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  1. 1
    Frequent itemset mining using graph theory / Mohammad Arsyad Mohd Yakop

    Frequent itemset mining using graph theory / Mohammad Arsyad Mohd Yakop by Mohd Yakop, Mohammad Arsyad

    Published 2017
    “…The Directed Acyclic Graph in High Dimensional Dataset Mining (DAGHDDM) is a graph-based mining algorithm that represents itemsets in complete graph before FIM takes place. …”
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  2. 2
    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
    “…This paper investigates the swarm intelligence behaviour represented by a population-based approach called the bat algorithm (BA) to find the smallest set of nodes that dominate the graph. …”
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  3. 3
    Butterfly Triple System Algorithm Based on Graph Theory

    Butterfly Triple System Algorithm Based on Graph Theory by Ibrahim, Haslinda, Aldiabat, Raja’i, Karim, Sharmila

    Published 2022
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  4. 4
    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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  5. 5
    A multi-view clustering algorithm for attributed weighted multi-edge directed networks

    A multi-view clustering algorithm for attributed weighted multi-edge directed networks by Khameneh, Azadeh Zahedi, Kilicman, Adem, Mahad, Zahari

    Published 2022
    “…Our algorithm first converts the given AWMEDiG into a new weighted graph. …”
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  6. 6
    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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  7. 7
    A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network

    A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Che, Yahaya, Roslina, Abdul Hamid

    Published 2018
    “…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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  8. 8
    Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method

    Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method by Abdul Latip, Nor Badariyah

    Published 2018
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  9. 9
    Optimised crossover genetic algorithm for capacitated vehicle routing problem

    Optimised crossover genetic algorithm for capacitated vehicle routing problem by Nazif, Habibeh, Lee, Lai Soon

    Published 2012
    “…The proposed algorithm uses an optimised crossover operator designed by a complete undirected bipartite graph to find an optimal set of delivery routes satisfying the requirements and giving minimal total cost. …”
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  10. 10
    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
    “…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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  11. 11
    A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity

    A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity by Khameneh, Azadeh Zahedi, Ghaznavi, Mehrdad, Kilicman, Adem, Mahad, Zahari, Mardani, Abbas

    Published 2024
    “…Next, a new maximal-clique-based clustering is designed to complete the node partitioning. …”
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  12. 12
    The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning

    The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

    Published 2025
    “…These continuous updates makes the graph to be highly dynamic, where nodes/edges are added to or removed from the graph always. …”
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  13. 13
    Computational comparison of major proposed methods for graph partitioning problem

    Computational comparison of major proposed methods for graph partitioning problem by Rais, H.M., Abed, S.A., Watada, J.

    Published 2019
    “…Thus, many research studies have focused on developing meta-heuristic algorithms to tackle the graph partitioning problem. …”
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  14. 14
    Power system intentional islanding for different contingency scenarios using discrete optimization technique

    Power system intentional islanding for different contingency scenarios using discrete optimization technique by Nur Zawani Binti Saharuddin

    Published 2023
    “…The initial intentional islanding solution was determined using graph theory approach, to facilitate the proposed MDEP algorithm in determining the optimal intentional islanding strategy. …”
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  15. 15
    A branch and bound and simulated annealing approach for job shop scheduling

    A branch and bound and simulated annealing approach for job shop scheduling by Tan, Hui Woon, Salim, Sutinah

    Published 2004
    “…The objective is to schedule the jobs on the machines so that the total completion time is minimized. In the branch and bound approach, the job shop scheduling problem is represented by a disjunctive graph, then the optimal schedule is obtained using the branch and bound algorithm while simulated annealing is a local search based algorithm which will slightly perturb the initial feasible solution to decrease the makespan. …”
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  16. 16
    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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  17. 17
    The efficiency of detecting the failures and troubleshooting while applying technical diagnostics for multi-computer systems

    The efficiency of detecting the failures and troubleshooting while applying technical diagnostics for multi-computer systems by Ye, K.Z., Kyaw, H.A., Portnov, E.M., Bain, A.M., Vasant, P.

    Published 2015
    “…Additionally, this research focuses on the improvement of multi-machine troubleshooting systems, based on the 'AND-OR' graphs. Respective algorithms are presented. …”
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  18. 18
    A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network

    A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Roslina, Abd Hamid

    Published 2015
    “…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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  19. 19
    Analysis of UAV state estimation modeling based on AHRS and INS configurations

    Analysis of UAV state estimation modeling based on AHRS and INS configurations by Mohd Razali, Noor Ashikin, Md Zhahir, Md Amzari

    Published 2017
    “…Inertial measurement unit (IMU) based attitude heading and reference system (AHRS) and complete inertial navigation system (INS) are the common navigation sensors used for UAV today. …”
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  20. 20
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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