Search Results - (( basic evaluation between algorithm ) OR ( java implementation path algorithm ))

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  1. 1

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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    Thesis
  2. 2

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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    Thesis
  3. 3

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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    Article
  4. 4

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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    Thesis
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    Ant system with heuristics for capacitated vehicle routing problem by Tan, Wen Fang

    Published 2013
    “…Finally, the proposed ASH was tested on two well known benchmark data sets to evaluate its performance and effectiveness. The computational results suggest that the AS approach embedded with heuristic(s) outperforms the pure AS algorithm. …”
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    Thesis
  7. 7

    Hierarchical 3D-Mesh Network by Rahman, M.M. Hafizur, Shah, Asadullah, Inoguchi, Yasushi

    Published 2013
    “…A Hierarchical 3D-Mesh (H3DM) Network is a 2D-mesh network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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    Proceeding Paper
  8. 8

    Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels by Lee, Hao Wei, Seng, Kah Phooi *, Chia, Wai Chong *, Ang, Li-Minn

    Published 2012
    “…This paper is inspired from various boundary determination techniques which are used for segregating colours between background, skin and lips. Basic concept for this technique is based on colour segmentation with CIELAB colourspace utilized for justifiable reasons. …”
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    Conference or Workshop Item
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    Interval-valued fuzzy soft topology and its applications in group decision-making problems by Altwer, Mabruka Ali Juma

    Published 2022
    “…In the literature, there are various interval-valued fuzzy soft set-based decision-making algorithms. However, these algorithms are unable to overcome the issue of comparable alternatives, and as a result, they might well be ignored due to a lack of a comprehensive model. …”
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    Thesis
  13. 13

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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    Thesis
  14. 14

    On dynamic communication performance of a hierarchical 3D-mesh network by Rahman, M.M. Hafizur, Shah, Asadullah, Inoguchi, Yasushi

    Published 2012
    “…A Hierarchical 3D-Mesh (H3DM) Network is a 2D-mesh network of multiple basic modules (BMs), in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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    Proceeding Paper
  15. 15

    Nomadic people optimizer (NPO) for large-scale optimization problems by Mohamd Salih, Sinan Qahtan

    Published 2019
    “…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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    Thesis
  16. 16

    On spectral efficiency maximization in a partial joint processing system using a multi-start particle swarm optimization algorithm by Faisal, Ali Raed, Hashim, Fazirulhisyam, Ismail, Mahamod, Noordin, Nor Kamariah

    Published 2015
    “…However, achieving equivalent backhaul reduction based on limited feedback channel state information is challenging when linear techniques, such as zero-forcing beamforming (BF) are used, which led to the use of stochastic algorithms instead. Therefore stochastic multi-start particle swarm optimization algorithm (MSPSOA) is proposed in this paper to achieve backhaul reduction and address the issue of lack of diversity, which is related to the basic particle swarm optimization algorithm (BPSOA). …”
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    Conference or Workshop Item
  17. 17

    Memory-based Immune Network for Multi-Robot Cooperation by Razali, Sazalinsyah, Meng, Qinggang, Yang, Shuang-Hua

    Published 2009
    “…The relationship between immune systems and multi-robot systems are also discussed. …”
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    Conference or Workshop Item
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    Modified hierarchical 3D-torus network by Rahman, M.M. Hafizur, Inoguchi, Yasushi, Horiguchi, Susumu

    Published 2005
    “…We also present a deadlock-free routing algorithm for the MH3DT network using two virtual channels and evaluate the network's dynamic communication performance under the uniform traffic pattern, using the proposed routing algorithm. …”
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    Article
  19. 19

    A phonetically rich and balanced lexical corpus using zipfian distribution for an under resourced language / Aminath Farshana by Aminath , Farshana

    Published 2018
    “…The performance of the proposed method was also evaluated by comparing the results with an existing benchmark method (greedy algorithm). …”
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    Thesis
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