Search Results - (( java application swarm algorithm ) OR ( quality function path algorithm ))

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  1. 1

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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    Article
  2. 2

    A hybrid algorithm for improving the quality of service in MANET by Hassan, Mustafa Hamid, Mostafa, Salama A., Budiyono, Avon, Mustapha, Aida, Gunasekaran, Saraswathy Shamini

    Published 2018
    “…Therefore, identifying paths that ensure high Quality of Service (QoS), such as their topology and applications is a vital issue in MANET. …”
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    Article
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    Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry by Yap, Hwa Jen, Ooi, C.H., Chang, Siow Wee

    Published 2018
    “…Then, die classification is performed to obtain the positions of functional and non-functional dies. Subsequently, point and coverage path planning algorithms are applied to determine the optimum path for physical die sorting operation. …”
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    Conference or Workshop Item
  5. 5

    A hybrid algorithm for improving the quality of service in MANET by Hassan M.H., Mostafa S.A., Budiyono A., Mustapha A., Gunasekaran S.S.

    Published 2023
    “…Therefore, identifying paths that ensure high Quality of Service (QoS), such as their topology and applications is a vital issue in MANET. …”
    Article
  6. 6

    Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry by Yap, Hwa Jen, Ooi, C.H., Chang, Siow Wee

    Published 2018
    “…Then, die classification is performed to obtain the positions of functional and non-functional dies. Subsequently, point and coverage path planning algorithms are applied to determine the optimum path for physical die sorting operation. …”
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    Conference or Workshop Item
  7. 7

    A Review of Multi-holes Drilling Path Optimization Using Soft Computing Approaches by Najwa Wahida, Zainal Abidin, M. F. F., Ab Rashid, N. M. Zuki, N. M.

    Published 2017
    “…In particular, this review focuses on four main aspects; drilling application areas, problem modeling, optimization algorithms and objective functions of drilling path optimization. …”
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    Article
  8. 8

    Reliable Fuzzy-Based Multi-Path Routing Protocol Based on Whale Optimization Algorithm to Improve QOS in 5G Networks for IOMT Applications by Al-Mukhtar F.S., Jaaz Z.A., Hamad A.H.

    Published 2024
    “…The Whale Optimization Algorithm (WOA) enhances the routing protocol performance. …”
    Article
  9. 9

    Efficient multi-UAV coordination via rl: joint path planning and task scheduling for post-disaster UAV-assisted MEC systems by Adnan, Mohd Hirzi, Ahmad Zukarnain, Zuriati, Subramaniam, Shamala K.

    Published 2025
    “…In this paper, we propose the Geometric Reinforcement Learning Algorithm (GRLA), a unified framework for joint path planning and task scheduling in multi-UAV MEC systems. …”
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    Article
  10. 10

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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    Thesis
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  12. 12

    Performance evaluation of heuristic methods in solving symmetric travelling salesman problems by Lim, Yai-Fung, Hong, Pei Yee, Ramli, Razamin, Khalid, Ruzelan, Baten, Md Azizul

    Published 2016
    “…Results: The analysis of computational results showed that the modified RTS algorithm provided a better solution quality in terms of minimizing the objective function of TSPs, while the SA algorithm was useful for obtaining instant solutions for TSPs with a large number of cities. …”
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    Article
  13. 13

    Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks by Saleh, Ahmed Mohammed Shamsan

    Published 2012
    “…It is based on Ant Colony Optimization (ACO) meta heuristic, which is adopted to enhance the paths with the best-quality function. The assessment of this function depends on multi-criteria metrics such as the minimum residual battery power, hop count, average energy of the route and average energy of the network. …”
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    Thesis
  14. 14

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Key features include the SMAC Hybrid A* algorithm for global path planning, the Regulated Pure Pursuit Controller for local trajectory execution and dynamic obstacle avoidance, and gmapping for SLAM functionality. …”
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    Final Year Project / Dissertation / Thesis
  15. 15

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Key features include the SMAC Hybrid A* algorithm for global path planning, the Regulated Pure Pursuit Controller for local trajectory execution and dynamic obstacle avoidance, and gmapping for SLAM functionality. …”
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    Final Year Project / Dissertation / Thesis
  16. 16

    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

    Published 2017
    “…Especially their velocities, uncertainty, cost function to be improved, and the robot’s dynamic and kinematic model, This research focuses on the existing drawbacks and inefficiencies of the available path planning approaches within unknown dynamic environments. …”
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    Thesis
  17. 17

    A comparative study of heuristic methods to solve Traveling Salesman Problem (TPS) by Lim, Yai Fung, Hong, Pei Yee, Ramli, Razamin, Khalid, Ruzelan

    Published 2011
    “…The implementations of the three methods to solve TSP show that the RTS algorithm provides a better solution in terms of minimizing the objective function while SA algorithm is less time consuming in solving problem with large number of cities.In conclusion, RTS is more effective in producing good quality solution and on the other hand, SA may be used to obtain instant results.…”
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    Monograph
  18. 18

    Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

    Published 2024
    “…Additionally, the planner and controller modules from Nav2 were employed for path planning and obstacle avoidance. Once the algorithm was fully tested and proven functional in simulation, it would be implemented on the physical robot. …”
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    Final Year Project / Dissertation / Thesis
  19. 19

    A Compromise Programming to Task Assignment Problem in Software Development Project by Son, N.T., Jaafar, J., Aziz, I.A., Anh, B.N., Binh, H.D., Aftab, M.U.

    Published 2021
    “…The generated schedule directs the project to be completed with the shortest critical path, at the minimum cost, while maintaining its quality. …”
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    Article
  20. 20

    Controller placement problem in the optimization of 5G based SDN and NFV architecture by Ibrahim, Abeer Abdalla Zakaria

    Published 2021
    “…The separation of control functionality from forwarding devices brings orchestration and management to enable 5G network programmability. …”
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    Thesis