Search Results - (( developing generation graph algorithm ) OR ( java application learning algorithm ))

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  1. 1

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…A tool termed as VIGA-20 (Visualization of Genetic Algorithm using 2-0 Graph) is implemented to accomplish this goal. …”
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  2. 2

    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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  3. 3

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

    Published 2024
    “…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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    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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  6. 6

    An improved algorithm in test case generation from UML activity diagram using activity path by Hashim, Nor Laily, Salman, Yasir D.

    Published 2011
    “…This paper proposed an improved algorithm to automatically generate test cases directly from UML activity diagram using an activity graph.This algorithm has been implemented as a prototype using UML activity diagrams as inputs to generate test cases.These generated test cases are generated automatically are compared to test cases that are generated manually in order to evaluate the algorithm’s usability and reliability.The result shows that the test cases generated by the developed test case generator program are the same as the one manually derived.…”
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    Scalable workflow scheduling algorithm for minimizing makespan and failure probability by Abdul Aziz, Maslina, Ninggal, Izuan Hafez

    Published 2019
    “…A workflow generator was developed to generate large task graphs randomly and scheduled the parallel applications. …”
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    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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    Examination timetabling for undergraduate programme using graph coloring approach / Norarida Abd Rhani ... [et al.] by Abd Rhani, Norarida, Mat Saad, Nor Najihah, Zulkfeli, Nabilah, Mazlan, Mardhiyah Marisha, Mahmud, Maziah, Mohamad, Siti Nurul Fitriah, Wan Yusoff, Wan Roslini

    Published 2021
    “…In this study, a systematic model was developed by using a graph coloring technique to generate an examination timetable based on the database obtained from the Examination Unit in UiTM Cawangan Kelantan, Machang Campus. …”
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    Design of DNA fragment assembly using IWP method on application-specific integrated-circuit / Hasniliati Hassan by Hassan, Hasniliati

    Published 2017
    “…After reviewing various algorithms, it was decided to apply de Bruijn graphs and Eulerian circuits that are based on graph theory. …”
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  16. 16

    Solving single machine scheduling problem with maximum lateness using a genetic algorithm by Nazif, Habibeh, Lee, Lai Soon

    Published 2010
    “…The results showed that the proposed algorithm is generating better quality solutions compared to other variants of genetic algorithms…”
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  17. 17

    Generic DNA encoding design scheme to solve combinatorial problems by Rofilde, Hasudungan

    Published 2015
    “…Currently, data encoding in DNA computing is tightly coupled with an algorithm that solves an instance of the problem. Solving another problem requires developing specific encoding and computations anew to prove DNA encoding and form the algorithm which is costly. …”
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  18. 18

    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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  19. 19

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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  20. 20

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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