Search Results - need-((forward optimization) OR (based optimization)) algorithm

Search alternatives:

Refine Results
  1. 1
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Rashid, Sami Abduljabbar, Audah, Lukman, Hamdi, Mustafa Maad, Jubair, Mohammed Ahmed, Hassan, Mustafa Hamid, Abood, Mohammed Salah, A. Mostafa, Salama

    Published 2023
    “…Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Rashid, Sami Abduljabbar, Audah, Lukman, Hamdi, Mustafa Maad, Jubair, Mohammed Ahmed, Hassan, Mustafa Hamid, Abood, Mohammed Salah, A. Mostafa, Salama

    Published 2023
    “…Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Rashid, Sami Abduljabbar, Audah, Lukman, Hamdi, Mustafa Maad, Jubair, Mohammed Ahmed, Hassan, Mustafa Hamid, Abood, Mohammed Salah, A. Mostafa, Salama

    Published 2023
    “…Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Self organizing multi-objective optimization problem

    Self organizing multi-objective optimization problem by Ismail, Fatimah Sham, Yusof, Rubiyah, Khalid, Marzuki

    Published 2011
    “…Weighted-sum approach genetic algorithm (GA) is one of the popular methods applied to solve multi-objectives optimization problems because it is a straight forward formulation and computationally efficient. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Sami Abduljabbar Rashid, Sami Abduljabbar Rashid, Lukman Audah, Lukman Audah, Mustafa Maad Hamdi, Mustafa Maad Hamdi, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair, Mustafa Hamid Hassan, Mustafa Hamid Hassan, Mohammed Salah Abood, Mohammed Salah Abood, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
    “…Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Sami Abduljabbar Rashid, Sami Abduljabbar Rashid, Lukman Audah, Lukman Audah, Mustafa Maad Hamdi, Mustafa Maad Hamdi, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair, Mustafa Hamid Hassan, Mustafa Hamid Hassan, Mohammed Salah Abood, Mohammed Salah Abood, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
    “…Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Sami Abduljabbar Rashid, Sami Abduljabbar Rashid, Lukman Audah, Lukman Audah, Mustafa Maad Hamdi, Mustafa Maad Hamdi, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair, Mustafa Hamid Hassan, Mustafa Hamid Hassan, Mohammed Salah Abood, Mohammed Salah Abood, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
    “…Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network

    Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network by Gachhadar, Anand, Hindia, Mhd Nour, Qamar, Faizan, Siddiqui, M. Hassam Shakil, Noordin, Kamarul Ariffin, Amiri, Iraj Sadegh

    Published 2018
    “…To address this, an optimized modified genetic algorithm (Modified GA) based scheme is proposed that utilizes probabilistic selection rules and fitness scores. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Artificial neural network technique for modeling of groundwater level in Langat Basin, Malaysia

    Artificial neural network technique for modeling of groundwater level in Langat Basin, Malaysia by Mahmoud Khaki, Ismail Yusoff, Nur Islami, Nur Hayati Hussin

    Published 2016
    “…All models developed had shown acceptable results. Based on the observation, the feed-forward neural network model optimized with the Levenberg-Marquardt algorithms showed the most beneficial results with the minimum MSE value of (0.048) and maximum R value of (0.839), obtained for simulation of groundwater levels. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks

    Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks by Han, Fengrong, Izzeldin, Ibrahim Mohamed Abdelaziz, Kamarul Hawari, Ghazali, Zhao, Yue, Li, Ning

    Published 2023
    “…However, it demonstrated extremely poor accuracy under anisotropic networks, which is an urgent problem that need to be addressed. Accordingly, an optimized DV-Hop localization algorithm is put forward in this study with considering several anisotropic factors. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Optimal Planning Of Distributed Generation Considering Time Varying Load

    Optimal Planning Of Distributed Generation Considering Time Varying Load by Ahmad Syahmi Aiman, Mohd Zuri

    Published 2022
    “…This thesis examines the influence of time-varying load modeling on photovoltaic (PV)-based DG planning. The purpose of this thesis is to present an effective combination method based on Backward Forward Sweep Power Flow (BFSPF) and Mix Integer Optimization by Genetic Algorithm (MIOGA) to solve the network problem in the presence of DG with the purpose of developing power flow for radial distribution system by considering time-varying load, optimize the sitting and sizing of the DG in the radial distribution network for the loss minimization and voltage improvement and make comparison radial distribution network with single and multi-DG by considering time varying load condition. …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  12. 12
    Differential evolution for neural networks learning enhancement

    Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

    Published 2008
    “…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Evolutionary Multiobjective optimization for automatic generation Of Neural game controller

    Evolutionary Multiobjective optimization for automatic generation Of Neural game controller by Chin, Kim On, Yong, Yung Nan

    Published 2013
    Get full text
    Get full text
    Research Report
    Save to List
    Saved in:
  14. 14
    Integration of simulation for ergonomics assessment in operation control centre (railway industries) / Adib Zulfadhli Mohd Alias

    Integration of simulation for ergonomics assessment in operation control centre (railway industries) / Adib Zulfadhli Mohd Alias by Adib Zulfadhli, Mohd Alias

    Published 2019
    “…Complete CAD/Revit model can be used to generate simulation model by straight forward translation of the whole model or with the algorithms for optimization. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Reliable Path Selection Packet Forwarding Routing Protocol for Vehicular Adhoc Networks

    Reliable Path Selection Packet Forwarding Routing Protocol for Vehicular Adhoc Networks by Irshad Ahmed, Abbasi

    Published 2019
    “…Then, a novel routing scheme called a Reliable Path Selection Packet Forwarding Routing Protocol (RPSPF) is proposed. The novelty of the proposed protocol comes from the fact that firstly it establishes an optimal route for vehicles to send packets towards their respective destinations by considering connectivity and shortest optimal distance based on multiple intersections. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review

    Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review by Yafouz A., Ahmed A.N., Zaini N., El-Shafie A.

    Published 2023
    Review
    Save to List
    Saved in:
  17. 17
    Optimization of coded signals based on wavelet neural network

    Optimization of coded signals based on wavelet neural network by Ahmed, Mustafa Sami

    Published 2015
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Evaluation of efficient vehicular ad hoc networks based on a maximum distance routing algorithm

    Evaluation of efficient vehicular ad hoc networks based on a maximum distance routing algorithm by Al-Mayouf, Y.R.B., Abdullah, N.F., Ismail, M., Al-Qaraawi, S.M., Mahdi, O.A., Khan, S.

    Published 2016
    “…This routing is position-based, known as the maximum distance on-demand routing algorithm (MDORA). …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Smart geographical routing protocol achieving high QoS and energy efficiency based for wireless multimedia sensor networks

    Smart geographical routing protocol achieving high QoS and energy efficiency based for wireless multimedia sensor networks by Hussein, Wael Ali, Mohd Ali, Borhanuddin, A. Rasid, Mohd Fadlee, Hashim, Fazirulhisyam

    Published 2021
    “…To meet the demand for higher throughput and real-time characteristics of multimedia contents, the routing protocol need to be simplified and optimized. In this paper, we present a routing algorithm that provides a low end-to-end packet delay and low packet loss, referred to as smart, greedy forwarding algorithm based on throughput and energy-awareness (SGFTEM). …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Optimal placement and sizing of distributed generation in radial distribution networks using particle swarm optimization and forward backward sweep method

    Optimal placement and sizing of distributed generation in radial distribution networks using particle swarm optimization and forward backward sweep method by Lawal, Sani Mohammed

    Published 2012
    “…The proposed PSO algorithm is used to determine optimal placement and size of DG in radial distribution networks, where Forward Backward Sweep Method (FBSM) of distribution load flow analysis was used, to determine the actual power loss in the system. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: