Search Results - (( set generation based algorithm ) OR ( java application learning algorithm ))

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    Starter Set Generation Based on Factorial Numbers for Half Wing of Butterfly Representation by Karim, Sharmila, Ibrahim, Haslinda

    Published 2021
    “…Previously starter sets are generated by using their permutation under exchange-based and cycling based. …”
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    Article
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    New Learning Models for Generating Classification Rules Based on Rough Set Approach by Al Shalabi, Luai Abdel Lateef

    Published 2000
    “…Two different models for learning in data sets were proposed based on two different reduction algorithms. …”
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    Thesis
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    Comparison between starter sets generation method for listing all permutations by Karim, Sharmila, Ibrahim, Haslinda, Omar, Zurni

    Published 2013
    “…distinct permutations is an exhaustive process.Using starter set, the process of listing the permutations becomes easy.However a problem arises when the equivalence starter sets will generate the similar permutation and needed to be discarded.Two new recursive strategies are proposed to generate starter sets without generating equivalence starter sets namely circular and exchange two elements operation.Once the starter sets are obtained, the circular and reverse of circular operation are employed to produce distinct permutation from each starter sets.Computational advantages are presented comparing the results obtained by the new method with two other existing methods.The result indicates that the exchange two elements based strategy is faster than the circular based.Overall all new algorithms are better than existing algorithms in time execution.…”
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    A permutation parallel algorithm under exchange restriction with message passing interface by Karim, Sharmila, Omar, Zurni, Ibrahim, Haslinda

    Published 2014
    “…The permutation generation method is based on starter sets generation under exchange operation and exploited it for listing down all n! …”
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    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…The experiments were conducted on self generated data sets (7 different sets) and well known datasets (Mushroom & Cars Data set). …”
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    Thesis
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    Comparative study on 4G/LTE cryptographic algorithms based on different factors by Ghanim, Alyaa, Alshaikhli, Imad Fakhri Taha

    Published 2014
    “…Recently, (LTE) Long Term Evolution appeared as a robust technology to meet (4G) Fourth Generation cellular networks requirements. Apparently, there are three sets of cryptographic algorithms that work on LTE technology and each set based on core algorithm. …”
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    Article
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    New Parameter Reduction of Soft Sets by Ma, Xiuqin

    Published 2012
    “…In this thesis, a New Efficient Normal Parameter Reduction algorithm (NENPR) of soft sets is proposed based on the new theorems, which have been proved and presented. …”
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    SEALiP: A simple and efficient algorithm for listing permutation via starter set method by Ibrahim, Haslinda, Zake, Lugean, Omar, Zurni, Karim, Sharmila

    Published 2013
    “…Algorithm for listing permutations for n elements is an arduous task.This paper attempts to introduce a novel method for generating permutations.The fundamental concept for this method is to seek a starter set to begin with as an initial set to generate all distinct permutations. …”
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    Article
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    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…This research explored and developed new heuristics based on GA for solving VRPSD. New algorithms, journal papers and computerized system were also developed. …”
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    Monograph
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    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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    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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    Thesis
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    HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation by Alazzawi, A.K., Rais, H.M., Basri, S., Alsariera, Y.A., Capretz, L.F., Imam, A.A., Balogun, A.O.

    Published 2021
    “…Consequently, a new meta-heuristic based t -way strategy called Hybrid Artificial Bee Colony (HABCSm) strategy, based on merging the advantages of the Artificial Bee Colony (ABC) algorithm with the advantages of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. …”
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    Article
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    HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation by Alazzawi, A.K., Rais, H.M., Basri, S., Alsariera, Y.A., Capretz, L.F., Imam, A.A., Balogun, A.O.

    Published 2021
    “…Consequently, a new meta-heuristic based t -way strategy called Hybrid Artificial Bee Colony (HABCSm) strategy, based on merging the advantages of the Artificial Bee Colony (ABC) algorithm with the advantages of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. …”
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    Article
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    Parallel strategy for starter sets to list all permutation based on cycling restriction by Karim, Sharmila, Omar, Zurni, Ibrahim, Haslinda, Othman, Khairil Iskandar

    Published 2011
    “…This paper presents a parallel implementation of a new permutation generation method.This permutation generation method is based on the starter sets for listing all the n! …”
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