Search Results - (( parameter optimization method algorithm ) OR ( opnet simulation model algorithm ))

Search alternatives:

Refine Results
  1. 1
    Simulation model to improve QoS performance over fixed WiMAX using OPNET

    Simulation model to improve QoS performance over fixed WiMAX using OPNET by Lawal, I.A., Md Said, A., Mu'azu, A.A.

    Published 2013
    “…A Model was developed based on the proposed new distributed model (Master-Slave), the first scenario comprised of 3 Base Stations (BS) and thirty Subscriber Station (SS) with one Master BS selected by the designed algorithm (Nearest Neighborhood Algorithms). …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Performance evaluation of enhanced MANETs routing protocols under video traffics, for different mobility and scalability models using OPNET

    Performance evaluation of enhanced MANETs routing protocols under video traffics, for different mobility and scalability models using OPNET by Ahmed, Diaa Eldein Mustafa, Khalifa, Othman Omran

    Published 2017
    “…Different mobility and scalability scenarios are evaluated after simulation of network with the help of OPNET modeler simulator…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Modelling of the anti-collision algorithm in RFID system: article / Shafinaz Ismail

    Modelling of the anti-collision algorithm in RFID system: article / Shafinaz Ismail by Ismail, Shafinaz

    Published 2014
    “…This proposal studies on the modeling of the anti-collision algorithm in RFID system and will focus on analyzing the performance of the pure Aloha and slotted Aloha algorithms by deriving the performance metrics of throughput. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Modelling of the anti-collision algorithm in RFID system / Shafinaz Ismail

    Modelling of the anti-collision algorithm in RFID system / Shafinaz Ismail by Ismail, Shafinaz

    Published 2014
    “…This proposal studies on the modeling of the anti-collision algorithm in RFID system and will focus on analyzing the performance of the pure Aloha and slotted Aloha algorithms by deriving the performance metrics of throughput. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Simulation Of Token Bucket Algorithm For Network Traffic Performance

    Simulation Of Token Bucket Algorithm For Network Traffic Performance by Yusof, Robiah, Mat Nawi, Nor Afifah

    Published 2020
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Performance analysis of priority queuing packets scheduling / Mohd Husni Din

    Performance analysis of priority queuing packets scheduling / Mohd Husni Din by Din, Mohd Husni

    Published 2009
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Performance analysis of packets scheduling with preemptive: article / Norjanah Kastaman

    Performance analysis of packets scheduling with preemptive: article / Norjanah Kastaman by Kastaman, Norjanah

    Published 2003
    “…We implement a scheduler model and incorporate it into the IP layer output queues using OPNET 10.5 simulation tool. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Performance analysis of packets scheduling with preemptive / Norjanah Kastaman

    Performance analysis of packets scheduling with preemptive / Norjanah Kastaman by Kastaman, Norjanah

    Published 2008
    “…We implement a scheduler model and incorporate it into the IP layer output queues using OPNET 10.5 simulation tool. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    An event-driven simulation for highest urgency first (HUF) : a latency and modulation aware bandwidth allocation algorithm for WiMAX base stations.

    An event-driven simulation for highest urgency first (HUF) : a latency and modulation aware bandwidth allocation algorithm for WiMAX base stations. by Naghshbandi, Danial, Subramaniam, Shamala, Moghadam, Saeed Rahimi

    Published 2013
    “…Awide-spectrum of WiMAX simulators have been developed to provide analysis for advanced WiMAX system development, including the open source tool ns-2, and commercial software such as QualNet and OPNET Modeler. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Performance evaluation of mobile ad hoc network in wireless LAN / Norfadhilah Hasan

    Performance evaluation of mobile ad hoc network in wireless LAN / Norfadhilah Hasan by Hasan, Norfadhilah

    Published 2005
    “…The work presented in this paper evaluates the performance of two MANET routing protocol known as Dynamic Source Routing (DSR) and Temporally Ordered Routing Algorithm (TORA). Simulation results are obtained with the aid of the OPNET Modeler, which is a commercial network simulation and evaluation tool. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Quality of service performances of three mobile ad hoc network protocols

    Quality of service performances of three mobile ad hoc network protocols by Adam, Nabilah

    Published 2009
    “…The protocols included the Dynamic Source Routing (DSR), Ad Hoc On-demand Distance Vector (AODV) and Temporally Ordered Routing Algorithm (TORA) protocol. The analysis had been done theoretically and through simulation using an Optimized Network Engineering Tools (OPNET) Modeler. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Optimization of turning parameters using genetic algorithm method

    Optimization of turning parameters using genetic algorithm method by Shah Izwandi, Mohd Zawawi

    Published 2008
    “…This study about development of optimization for turning parameters based on the Genetic Algorithm (GA). …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  13. 13
    Parameters optimization of surface grinding process with particles swarm optimization, gravitational search, and sine cosine algorithms: a comparative analysis

    Parameters optimization of surface grinding process with particles swarm optimization, gravitational search, and sine cosine algorithms: a comparative analysis by Asrul, Adam

    Published 2018
    “…The efficiency of the three algorithms are evaluated and compared with previous results obtained by other optimization methods on similar studies. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  14. 14
    Optimization of PID parameters for hydraulic positioning system utilizing variable weight Grey-Taguchi and particle swarm optimization

    Optimization of PID parameters for hydraulic positioning system utilizing variable weight Grey-Taguchi and particle swarm optimization by Nur Iffah, Mohamed Azmi

    Published 2014
    “…Particle swarm optimization algorithm (PSO) is one of the artificial intelligence methods. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Optimization of turning parameters using ant colony optimization

    Optimization of turning parameters using ant colony optimization by Mohamad Nazri, Semoin

    Published 2008
    “…The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  16. 16
    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail

    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail by Foo, Fong Yeng, Lau, Gee Choon, Ismail, Zuhaimy

    Published 2014
    “…Trial and error often serves as the best method to determine the parameter. Therefore, a good optimization technique is required for identify the best parameter in minimizing the forecast errors. …”
    Get full text
    Get full text
    Research Reports
    Save to List
    Saved in:
  17. 17
    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation

    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation by Premkumar M., Ravichandran S., Hashim T.J.T., Sin T.C., Abbassi R.

    Published 2025
    Subjects:
    Article
    Save to List
    Saved in:
  18. 18
    Application Of Genetic Algorithms For Robust Parameter Optimization

    Application Of Genetic Algorithms For Robust Parameter Optimization by Belavendram, N.

    Published 2010
    “…Genetic algorithms (GA) are fairly recent in this respect but afford a novel method of parameter optimization. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Optimization of PID Parameters Utilizing Variable Weight Grey-Taguchi Method and Particle Swarm Optimization

    Optimization of PID Parameters Utilizing Variable Weight Grey-Taguchi Method and Particle Swarm Optimization by Nur Iffah, Mohamed Azmi, Kamal Arifin, Mat Piah, Wan Azhar, Wan Yusoff, F. R. M., Romlay

    Published 2017
    “…Particle swarm optimization algorithm (PSO) is one of the artificial intelligence methods. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  20. 20
    Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study

    Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study by Li Yu Yab, Li Yu Yab, Wahid, Noorhaniza, A Hamid, Rahayu

    Published 2023
    “…—Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: