Search Results - (( develop complete graph algorithm ) OR ( java implication based algorithm ))

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  1. 1

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

    Published 2022
    “…Basically, in this algorithm development, a starter of cyclic near-resolvable ((v-1)/2)-cycle system of the 2-fold complete graph 2Kvis employed to construct the starter of cyclic ((v-1)/2)-star decomposition of 2Kv. …”
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    Article
  2. 2

    Representation of half wing of butterfly and hamiltonian circuit for complete graph using starter set method by Karim, Sharmila, Ibrahim, Haslinda, Mohd Darus, Maizon

    Published 2019
    “…Generating distinct circuits from complete graphs have been an active study due to vast applications particularly in computer science. …”
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    Article
  3. 3

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

    Published 2018
    “…Cun·ent studies have been focused on developing path planning algorithms to satisfy the criteria of path planning namely minimum path length, low computation time and complete, i.e., it gives positive result if a path is available or negative if otherwise. …”
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    Thesis
  4. 4

    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
  5. 5

    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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    Thesis
  6. 6

    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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    Proceeding Paper
  7. 7

    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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    Article
  8. 8

    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. …”
    text::Thesis
  9. 9

    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
  10. 10

    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
    “…Under this framework, different algorithms have been developed where the output relies on an exact distance calculated based on the objects’ features. …”
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    Article
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    Analysis and modeling of database storage optimization power consumption usage for green data centers by Wan Noor Hamiza, Wan Ali

    Published 2014
    “…The proxies can be discovered by using a developed algorithm of functional dependencies (FDs) called as TANE algorithm. …”
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    Thesis
  14. 14

    A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem by Lee, Lai Soon, Nazif, Habibeh

    Published 2009
    “…Hence when setup time is small more batches are formed which means fewer jobs are to be processed per batch.The proposed OCGA effectively solve the problem with better solution quality compared to other local search methods. We will develop the proposed OCGA to solve the problem of minimising the total (weighted) completion time as future work. …”
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    Conference or Workshop Item
  15. 15

    Detecting and evaluating surface crack defect of building structure and infrastructure elements using Digital Image Processing approach / Nursyafiqah Razmi by Razmi, Nursyafiqah

    Published 2018
    “…The thresholding algorithm was developed to detect the crack area and estimate the crack length by using MATLAB version 2015a and 2017a software. …”
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    Student Project
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    Keyword query processing interface model of ontological natural language manipulation by Hasany, Syed Muhammad Noman

    Published 2010
    “…To handle large keyword queries, graph representation and processing is considered as a bottleneck. …”
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    Thesis
  18. 18

    Trace analyzer for NS-2 by Salleh A.U., Ishak Z., Din N.Md., Jamaludin M.Z.

    Published 2023
    “…This will benefit the user since he or she can concentrate on developing new algorithms or new architectures rather spending too much time on post processing of data. � 2006 IEEE.…”
    Conference paper
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