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

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  1. 1
    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism

    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

    Published 2025
    “…The major contribution of this work lies in the develop of Prior Evaluation Cloud Storage Cost Optimization called (PECSCO) mechanism to optimize the cloud cost with least overhead. …”
    Conference paper
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  2. 2
    Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries

    Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries by Fadzli, S.A., Abdulkadir, S.I., Makhtar, M., Jamal, A.A.

    Published 2016
    “…The adjacency matrix is the naive storage structure of the algorithm. This storage structure has limited the use of the algorithm as it expands large storage space. …”
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  3. 3
    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…However, exceptionally, the accuracy of the GA algorithm was approximately 34% better than the HPSOGA algorithm for only the optimal storage capacity at Karun IV Dam. …”
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    Thesis
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  4. 4
    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model

    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model by Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.

    Published 2024
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  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 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. …”
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  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 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. …”
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  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 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. …”
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  8. 8
    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. …”
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  9. 9
    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. …”
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  10. 10
    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. …”
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  11. 11
    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. …”
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  12. 12
    An enhanced soft set data reduction using decision partition order technique

    An enhanced soft set data reduction using decision partition order technique by Mohammed, Mohammed Adam Taheir

    Published 2017
    “…Also, the accuracy of original soft-set optimal and sub-optimal results have been improved using an intelligent SSR-BPSO-BBO algorithm. …”
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  13. 13
    Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm

    Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm by Lee, Clement Yuon Sien

    Published 2016
    “…An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. …”
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    Undergraduates Project Papers
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  14. 14
    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. …”
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  15. 15
    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
    “…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. …”
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  16. 16
    Heuristic task scheduling algorithms for optimal resource utilisation in grid computing

    Heuristic task scheduling algorithms for optimal resource utilisation in grid computing by Aldailamy, Ali Y., Maipan-Uku, Jamilu Yahaya, Muhammed, Abdullah

    Published 2020
    “…The current challenge facing researchers is to determine the optimal task scheduling method that provides optimal resource utilisation in this extremely heterogeneous environment. …”
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  17. 17
    Optimizing lossless compression by normalized data length in Huffman Algorithm

    Optimizing lossless compression by normalized data length in Huffman Algorithm by Tonny, Hidayat

    Published 2022
    “…Due to the grown need of storage space, the demand for efficient compression scheme becomes increasingly important. …”
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  18. 18
    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
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  19. 19
    Development of heuristic task scheduling algorithm in cloud computing

    Development of heuristic task scheduling algorithm in cloud computing by Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

    Published 2016
    “…In order to optimize these resources used, high level of scheduling algorithms are required. …”
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    Proceeding Paper
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  20. 20
    Multi-objective grey wolf optimizer algorithm for task scheduling in cloud-fog computing

    Multi-objective grey wolf optimizer algorithm for task scheduling in cloud-fog computing by Saif, Faten A., Latip, Rohaya, Hanapi, Zurina Mohd, Shafinah, Kamarudin

    Published 2023
    “…These are the main challenges in cloudfog computing that need to improve. Thus, this study proposed a Multi-Objectives Grey Wolf Optimizer (MGWO) algorithm to reduce the QoS objectives delay and energy consumption and held in the fog broker, which plays an essential role in distributing tasks. …”
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