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  1. 1

    The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement by Hosseini E., Al-Ghaili A.M., Kadir D.H., Daneshfar F., Gunasekaran S.S., Deveci M.

    Published 2025
    “…In this study, a new idea centered on seed growth, Seed Growth Algorithm (SGA), as a conditional convergent evolutionary algorithm is proposed for optimizing several discrete and continuous optimization problems. …”
    Article
  2. 2

    Analysis of Dijkstra’s and A* algorithm to find the shortest path by Alija, Amani Saleh

    Published 2015
    “…There are so many algorithms used to find the shortest path such as Dijkstra, A* algorithm, Genetic algorithm, Floyd algorithm and Ant algorithm. …”
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    Thesis
  3. 3

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

    Published 2020
    “…If all the robots use the same path planning algorithm, it is possible that they may not bring the greatest benefit. …”
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    Final Year Project / Dissertation / Thesis
  4. 4

    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
  5. 5

    Performance analysis of genetic algorithm (GA)-based multi-constrained path routing algorithm by Yussof S.

    Published 2023
    “…The performance of the algorithm is then compared with an exact algorithm called the depth first search and a common shortest path algorithm called the Dijkstra's algorithm. …”
    Article
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  7. 7

    Path planning algorithm for a car like robot based on MILP method by Mohd Sadri, Mohd Pawzi

    Published 2013
    “…This project is presents an algorithm for path planning optimal routes mobile robot “like a car” to a target in unknown environment. …”
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    Thesis
  8. 8

    Test case minimization applying firefly algorithm by Hashim, Nor Laily, Dawood, Yasir Salman

    Published 2018
    “…The proposed test case minimization method has the following steps: provide weight to the paths, calculate path coverage for each path, transform an immediate graph into an adjacency matrix, which later is used to apply firefly algorithm and generate optimal test cases. …”
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    Article
  9. 9
  10. 10

    Repetitive mutations in genetic algorithm for software test data generations by Kadhim, Mohammed Majid

    Published 2022
    “…One of the white box testing techniques is path coverage testing. Genetic Algorithm (GA) has proven to be an important method in generating test data for automatic path coverage testing. …”
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    Thesis
  11. 11

    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

    Published 2014
    “…However, when compositions contain more than one execution path (i.e., multiple path's compositions), it is difficult to generate a composite service that simultaneously optimizes all the execution paths involved in the composite service at the same time while meeting the QoS requirements. …”
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  12. 12

    All-pass filtered x least mean square algorithm for narrowband active noise control by Mondal (Das), Kuheli, Das, Saurav, Abu, Aminudin, Hamada, Nozomu, Toh, Hoong Thiam, Das, Saikat, Faris, Waleed Fekry

    Published 2018
    “…Recently several new ANC algorithms have been developed; in which there is no requirement for the modelling of the secondary path transfer function. …”
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    Article
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    Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization by Pang, Jia Hong

    Published 2011
    “…This research work involves the implementation of Single Objective Genetic Algorithm (SOGA) and Multi-objectives Genetic Algorithm (MOGA) in a 16-point Radix-4 Single Path Delay Feedback (R4SDF) pipelined Fast Fourier Transform (FFT) processor. …”
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    Thesis
  15. 15

    Integration of enchanced jump point search (JPS) algorithm with modified bresenham technique for path planning in virtual grid-based environment by Nurul Atikah Janis

    Published 2018
    “…The algorithm which consider the error value, e to increment pixels is the crucial part of the line generation applies the same concept in the second approach, where the error value, e is used as indicator to determine the heuristic cost of the path. …”
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  16. 16

    Hybrid optimal path traceback system development for optimization DNA sequences alignment by Ahmad Sabri, Nur Dalilah

    Published 2012
    “…As a result, the second design required three times design area as compare to the first design for determine the optimal path for the same matrix size. Therefore, the first design is the best hybrid approach for the optimal path trace back size since theoretical result has shown both of the design has the same output but the second design suffers in terms of large design area.…”
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    Student Project
  17. 17

    Hybrid optimal path traceback system development for optimizing DNA sequences alignment: article by Ahmad Sabri, Nur Dalilah

    Published 2012
    “…As a result, the second design required three times design area as compare to the first design for determine the optimal path for the same matrix size. Therefore, the first design is the best hybrid approach for the optimal path trace back size since theoretical result has shown both of the design has the same output but the second design suffers in terms of large design area.…”
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    Article
  18. 18

    Reliable low power network protocol in IoT for agriculture field by Wong, Christopher Jin Soon

    Published 2024
    “…The data link layer protocol handles the Medium Access Control (MAC) of the mesh network efficiently using algorithms based on the Scheduling sub-cycle of the Fast, Adaptive, and Energy-efficient Multi-channel-multi-path (FAEM) protocol by Liew et al. …”
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    Final Year Project / Dissertation / Thesis
  19. 19

    Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah by Wan Ngah, Wan Ahmad Jailani

    Published 2013
    “…The Bug algorithm is a local path planning methodology for mobile robot which detects the nearest obstacle as the robot moves towards a target with no or very limited information about the environment. …”
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    Thesis
  20. 20

    Token based path allocation approach for mobile robots in sorting centre for achieving high throughput by Khoo, Zong Zheng

    Published 2024
    “…This project proposes an improved path-finding algorithm that implements token-based path finding while a robot wants to access a grid cell. …”
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    Final Year Project / Dissertation / Thesis