Search Results - (( using codification mining algorithm ) OR ( basic selection _ algorithm ))

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  1. 1

    Routing performance enhancement in hierarchical torus network by link-selection algorithm by Rahman, M.M. Hafizur, Horiguchi, Susumu

    Published 2005
    “…In this paper, we propose a link-selection algorithm for efficient use of physical links of the HTN, while keeping the link-selection algorithm as simple as the dimension-order routing algorithm. …”
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    Article
  2. 2

    Dynamic communication performance enhancement in hierarchical torus network by selection algorithm by Rahman, M.M. Hafizur, Sato, Yukinori, Inoguchi, Yasushi

    Published 2012
    “…This paper addresses three adaptive routing algorithms -- link-selection, channel-selection, and a combination of link-selection and channel-selection -- for the efficient use of physical links and virtual channels of an HTN to enhance dynamic communication performance. …”
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    Article
  3. 3

    Butterfly traffic pattern in selection algorithm on hierarchical torus network by Rahman, M.M. Hafizur, Akhand, M. A. H, Shill, P.C., Inoguchi, Yasushi

    Published 2015
    “…The combination of link selection and channel selection (LS+CS) algorithm improves the dynamic communication performance of the HTN by efficient use of physical links and virtual channels. …”
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    Proceeding Paper
  4. 4

    A cost and delay estimation of a suite of low-cost adaptive routers for hierarchical torus network by Rahman, M.M. Hafizur, Akhand, M. A. H

    Published 2012
    “…Three deadlock-free adaptive routing algorithms called link-selection, channel-selection, and a combination of link-selection and channel-selection was proposed for the efficient use of physical links and virtual channels of an HTN to improve dynamic communication performance. …”
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    Proceeding Paper
  5. 5

    Adaptive routing algorithms and implementation for TESH network by Miura, Yasuyuki, Kaneko, Masahiro, Rahman, M.M. Hafizur, Watanabe, Shigeyoshi

    Published 2013
    “…Thus, those algorithms can also be applied to TESH network. We have proposed three adaptive routing algorithms—channel-selection, link-selection, and dynamic dimension reversal—for the efficient use of network resources of a TESH network to improve dynamic communication performance. …”
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    Article
  6. 6
  7. 7

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…The basic concept of the GA is the natural selection and survival of the fittest, which is identical to the human genetic. …”
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    Thesis
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    Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

    Published 2016
    “…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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    Thesis
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    Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours by Baneamoon, Saeed Mohammed Saeed

    Published 2010
    “…The main problem in robotic system is in selecting the correct behaviour. The aim of this research is to overcome the behaviour selection problem. …”
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    Thesis
  12. 12

    CSC099: Foundation Computing II / Centre of Foundation Studies by UiTM, Centre of Foundation Studies

    Published 2022
    “…This course introduces basic computer programming algorithm, problem solving, structured programming language, selection structure, repetition structure, function and array. …”
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    Teaching Resource
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    The non-uniform communication performance of adaptive routing for hierarchical interconnection network for 3D VLSI by Miura, Yasuyuki, Watanabe, Shigeyoshi, Rahman, M.M. Hafizur

    Published 2015
    “…Thus, those algorithms can also be applied to TESH network. We have proposed three adaptive routing algorithms - channel-selection, link-selection, and dynamic dimension reversal - for the efficient use of network resources of a TESH network to improve dynamic communication performance. …”
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    Article
  16. 16

    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

    Published 2022
    “…As the 50-50 probabilities for exploitation and exploration in the basic teaching learning-based optimization algorithm may be counterproductive, the Mamdani-type fuzzy inference system of the new algorithm takes these measures as a crisp inputs and generates selection as crisp output to choose either exploitation or exploration based on the current search requirement. …”
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    Article
  17. 17

    Network analysis for GPS UTMnav system: preliminary stage by A. Majid, Siti Nuruljannah, Musa, Tajul Ariffin, Setan, Halim, Musliman, Ivin Amri

    Published 2008
    “…Each algorithm was reviewed and a simulation test was conducted to evaluate the selected algorithms. …”
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    Conference or Workshop Item
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    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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    Thesis
  20. 20

    Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus by Darus, Zamzuhairi

    Published 2003
    “…A systematic method for selecting the ANN's input variables was developed using Matlab Programming language.…”
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    Thesis