Search Results - (( mobile optimization approach algorithm ) OR ( based observational system algorithm ))*

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  1. 1
    HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets

    HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets by Hasan, Raed Abdulkareem, Mostafa, A. Mohammed, Salih, Zeyad Hussein, M. A., Ameedeen, Tapus, Nicolae, Mohammed, Muamer N.

    Published 2018
    “…With the proposed model, the performance of the Hybrid swarm algorithm was significantly increased, as observed by optimizing the number of tasks through simulation, (power consumption was reduced by 42%). …”
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  2. 2
    Optimizing mobile robot navigation through neuro-symbolic fusion of Deep Deterministic Policy Gradient (DDPG) and fuzzy logic

    Optimizing mobile robot navigation through neuro-symbolic fusion of Deep Deterministic Policy Gradient (DDPG) and fuzzy logic by Nasary, Muhammad Faqiihuddin, Mohd Ibrahim, Azhar, Al Mahmud, Suaib, Shafie, Amir Akramin, Mardzuki, Muhammad Imran

    Published 2024
    “…Mobile robot navigation has been a sector of great importance in the autonomous systems research arena for a while. For ensuring successful navigation in com-plex environments several rule-based traditional approaches have been employed previously which possess several drawbacks in terms of ensuring navigation and obstacle avoidance efficiency. …”
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    Proceeding Paper
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  3. 3
    Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm

    Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm by Krishnan P.S., Paw J.K.S., Kiong T.S.

    Published 2023
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  4. 4
    A review on autonomous mobile robot path planning algorithms

    A review on autonomous mobile robot path planning algorithms by Noraziah, Adzhar, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2020
    “…In this paper, commonly use classical approaches such as cell decomposition (CD), roadmap approach (RA), artificial potential field (AFP), and heuristics approaches such as genetic algorithm (GA), particle swarm optimization (PSO) approach and ant colony optimization (ACO) method are considered.It is observed that when it comes to dynamic environment where most of the information are unknown to the mobile robots before starting, heuristics approaches are more popular and widely used compared to classical approaches since it can handle uncertainty, interact with objects and making quick decision. …”
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  5. 5
    Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach

    Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach by Gholizadeh, Somayyeh

    Published 2018
    “…Furthermore, Optimized Parametric Topology Control Routing algorithm performs significantly better than Triangular Routing Method and Change Foreign Agent Algorithm. …”
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  6. 6
    Mobile robot path planning using hybrid genetic algorithm and traversability vectors method

    Mobile robot path planning using hybrid genetic algorithm and traversability vectors method by Loo, C.K., Rajeswari, M., Wong, E.K., RaoTask, M.V.C.

    Published 2004
    “…The shortest/optimal path generation is essential for the efficient operation of a mobile robot. …”
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  7. 7
    OPTIMIZATION OF MOBILE TRANSPORT NETWORK USING INTERNET PROTOCOL/MULTI-PROTOCOL LABEL SWITCHING (IP/MPLS) APPROACH

    OPTIMIZATION OF MOBILE TRANSPORT NETWORK USING INTERNET PROTOCOL/MULTI-PROTOCOL LABEL SWITCHING (IP/MPLS) APPROACH by Ngo, Lip Chee

    Published 2014
    “…This report focuses on a research-based project of the title ‘Optimization of Mobile Transport Network using Internet Protocol/Multi-Protocol Label Switching (IP/MPLS) Approach’. …”
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    Final Year Project
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  8. 8
    Simulation-Based Evaluation of Power Efficiency and Output Capacitance in Standalone PV MPPT Buck Converters Using 200 V pGaN HEMTs

    Simulation-Based Evaluation of Power Efficiency and Output Capacitance in Standalone PV MPPT Buck Converters Using 200 V pGaN HEMTs by Xinzhi, Liu, Suhaidi, Shafie, Mohd Amran, Mohd Radzi, Norhafiz, Azis, Abdul Hafiz, Abdul Karim, Nurbahirah, Norddin, Ismail, Lawal

    Published 2025
    “…This study addresses the inefficiencies and limitations of conventional silicon-based MOSFETs in photovoltaic (PV) Maximum Power Point Tracking (MPPT) buck converters by introducing a simulation based approach to assess 200 V Schottky p-GaN High Electron Mobility Transistors (HEMTs). …”
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  9. 9
    Wireless Coverage for Mobile Users in Dynamic Environments Using UAV

    Wireless Coverage for Mobile Users in Dynamic Environments Using UAV by Sawalmeh A.H., Othman N.S., Shakhatreh H., Khreishah A.

    Published 2023
    “…Antennas; Genetic algorithms; Heuristic methods; Mobile telecommunication systems; Particle swarm optimization (PSO); Point groups; Trajectories; Brute force search; Dynamic environments; Genetics algorithms; Group mobility model; Heuristic approach; Random waypoints; Search and rescue operations; Total transmit power; Unmanned aerial vehicles (UAV)…”
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  10. 10
    A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot

    A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot by Low, Ee Soong, Ong, Pauline, Low, Cheng Yee

    Published 2023
    “…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
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  11. 11
    A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot

    A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot by Ee Soong Low, Ee Soong Low, Pauline Ong, Pauline Ong, Cheng Yee Low, Cheng Yee Low

    Published 2023
    “…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
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  12. 12
    Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots

    Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots by Hanafi Ahmad Hijazi, Patricia Anthony

    Published 2006
    “…As a result, this study has thus shown that the multi-objective approach to evolutionary robotics in the form of the elitist PDE-EMO algorithm can be practically used to automatically generate controllers for RF-Iocalization behavior in autonomous mobile robots.…”
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  13. 13
    OPTIMIZATION OF MOBILE TRANSPORT NETWORK USING INTERNET PROTOCOL/MULTI-PROTOCOL LABEL SWITCHING (IP/MPLS) APPROACH

    OPTIMIZATION OF MOBILE TRANSPORT NETWORK USING INTERNET PROTOCOL/MULTI-PROTOCOL LABEL SWITCHING (IP/MPLS) APPROACH by Ngo, Lip Chee

    Published 2014
    “…This report focuses on a research-based project of the title ‘Optimization of Mobile Transport Network using Internet Protocol/Multi-Protocol Label Switching (IP/MPLS) Approach’. …”
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  14. 14
    A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot

    A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot by Ee Soong Low, Ee Soong Low, Pauline Ong, Pauline Ong, Cheng Yee Low, Cheng Yee Low

    Published 2023
    “…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
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  15. 15
    A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control

    A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control by Shamsudin, Shamsudin, Mohamaddan, Shahrol

    Published 2023
    “…Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). …”
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  16. 16
    An overview of mobile robot path planning

    An overview of mobile robot path planning by Noraziah, Adzhar, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2019
    “…The classical approaches such as cell decomposition, roadmap approach, artificial potential field (AFP), and heuristics approaches such as genetic algorithm, particle swarm optimization (PSO) approach and ant colony optimization (ACO) method are considered in this study. …”
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  17. 17
    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems

    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

    Published 2005
    “…This thesis treats some modeling and estimation problems in mobile communication systems that employ multiple antennas, primarily at the base stations. …”
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  18. 18
    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decision-making

    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

    Published 2023
    “…Typically, approaches deal with them separately, which might cause sub-optimality. …”
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  19. 19
    A review on path planning and obstacle avoidance algorithms for autonomous mobile robots

    A review on path planning and obstacle avoidance algorithms for autonomous mobile robots by Anis Naema Atiyah, Rafai, Noraziah, Adzhar, Nor Izzati, Jaini

    Published 2022
    “…Taking into consideration commonly used classical approaches such as Dijkstra algorithm (DA), artificial potential field (APF), probabilistic road map (PRM), cell decomposition (CD), and meta-heuristic techniques such as fuzzy logic (FL), neutral network (NN), particle swarm optimization (PSO), genetic algorithm (GA), cuckoo search algorithm (CSO), and artificial bee colony (ABC). …”
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  20. 20
    A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control

    A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control by Razali, Muhammad Razmi, Mohd Faudzi, Ahmad Athif, Shamsudin, Abu Ubaidah, Shahrol Mohamaddan, Shahrol Mohamaddan

    Published 2023
    “…Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). …”
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