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  1. 1

    A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

    Published 2022
    “…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. …”
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    Thesis
  2. 2

    Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed by Aneesa Ali, Ali Saeed

    Published 2017
    “…This model driven approach was integrated with the proposed infeasible path detection method which based on analyzing various OCL constructs and operations. …”
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    Thesis
  3. 3

    A novel bio-inspired routing algorithm based on ACO for WSNs by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2019
    “…Utilizing the novel technique and considering both the node mobility and the existing energy of the nodes, an optimal route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission.…”
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    Article
  4. 4

    Void avoidance opportunistic routing density rank based for underwater sensor networks by Ismail, Nasarudin

    Published 2021
    “…Finally, the algorithm Void Avoidance Opportunistic Routing Density Rank Based (ORDRB) was developed to deal with the communication void by introducing a simple method to detect a void node and avoid it during the forwarding process. …”
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    Thesis
  5. 5

    Identification and mitigation of non-line-of-sight path effect using repeater for hybrid ultra-wideband positioning and networking system by Chung, Gwo Chin, Mohd. Aqmal Syafiq Kamarudin, Lee, It Ee, Tan, Soo Fun

    Published 2021
    “…A switching algorithm is written to identify the existence of NLOS paths based on received signal strength (RSS) and unique channel characteristics such as mean excess delay (MED) and root mean square (RMS). …”
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    Article
  6. 6

    Comparison of path planning in simulated robot by Ch’ng, Chee Yu’ng

    Published 2020
    “…Thus, a comparison of path planning algorithm in simulated robot will be conducted in this study. …”
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    Final Year Project / Dissertation / Thesis
  7. 7

    Implementation of laser simulator in robot path determination by Zenas, Chung Han Yuan

    Published 2016
    “…In addition, one of the classical path planning approach which is A* algorithm will be used to compare the result generated by laser simulator. …”
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    Undergraduates Project Papers
  8. 8

    Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja by Nurul Hani , Nortaja

    Published 2004
    “…The steps to calculate a shortest path using A • algorithm is shown by using appropriate examples and related figures. …”
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    Thesis
  9. 9

    Global Mobile Robot Path Planning using Laser Simulator by Ali, Mohammed A. H., Wan Azhar, Wan Yusoff, Zamzuri, Hamedon, Zulkifli, Md. Yusof, Musa, Mailah

    Published 2017
    “…From the results, the laser simulator has advantages in computational time and low collision possibility in comparison with A* algorithm while the path cost of laser simulator is always greater than path cost of A* algorithm.…”
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    Conference or Workshop Item
  10. 10

    Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

    Published 2008
    “…The development of the path planning algorithm is initially presented by the geometrical analysis and it is then analyzed by simulation using Matlab. …”
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    Learning Object
  11. 11

    Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space by Zahari, Ammar, Ismail , Amelia Ritahani, Desia, Recky

    Published 2015
    “…A simulated robot in a simulated environment is used to test the algorithm that is to be developed. …”
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    Article
  12. 12

    Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site by TANG, HON PANN

    Published 2017
    “…This project investigates the performance of three different graph based path planning algorithms used, relaxed A*, A* and Dijkstra’s algorithm in a few environments with different obstacles settings using Gazebo environment simulator and Turtlebot simulator (computer simulation) and 4WD navigation robot (real environment simulation).…”
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    Final Year Project
  13. 13

    The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment by Kok, Kai Yit

    Published 2016
    “…All simulations were performed using MATLAB with visualization of UAV path planning. …”
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    Thesis
  14. 14

    Path planning for constant speed robot by Abdullah @ Idris, Ahmad Takiyuddin

    Published 2006
    “…The development of the path planning algorithm is initially presented by the geometrical analysis and it is then analyzed by simulation using Matlab. …”
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    Thesis
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  17. 17

    Route optimization using shortest path method / Muhamad Faisal Amin Shakri by Shakri, Muhamad Faisal Amin

    Published 2025
    “…This study investigated the implementation and comparison between well known shortest path method which are Dijkstra’s algorithm, Bellman-Ford, and A* algorithm. …”
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    Thesis
  18. 18

    New algorithm for autonomous dynamic path planning in real-time intelligent robot car by Mohammed, Akeel Ahmed, Hassan, Mohd Khair, Aris, Ishak, Kamsani, Noor Ain

    Published 2017
    “…Different algorithms have been used to address this problem by considering the optimal path with minimum cost; however, these algorithms did not consider the execution time to find such path. …”
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    Article
  19. 19

    A robust GA-based QoS routing algorithm for solving multi-constrained path problem by Yussof S., See O.H.

    Published 2023
    “…However, the actual link metrics in a QoS-aware network is dynamic and may continuously change over time and since the path given by the routing algorithm is computed using the state information available to the router, which may or may not be up-to-date, it is possible that a feasible path returned by the algorithm may turn out to be no longer valid. …”
    Article
  20. 20

    Dynamic path planning algorithm in mobile robot navigation by Yun, S.C., Parasuraman, S., Ganapathy, V.

    Published 2011
    “…MATLAB simulation is developed to verify and validate the algorithm before they are real time implemented on Team AmigoBotTM robot. …”
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    Conference or Workshop Item