Search Results - (( a distribution impact algorithm ) OR ( parameters variation bees algorithm ))

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  1. 1

    Multiobjective optimization using weighted sum Artificial Bee Colony algorithm for Load Frequency Control by Naidu, K., Mokhlis, Hazlie, Bakar, Ab Halim Abu

    Published 2014
    “…Furthermore, the proposed algorithm is robust enough to operate under different operating conditions and system parameter variations.…”
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    Article
  2. 2

    Optimal variational mode decomposition and integrated extreme learning machine for network traffic prediction by Jinmei Shi, Yu-Beng Leau, Kun Li, Huandong Chen

    Published 2021
    “…A Scalable Artificial Bee Colony (SABC) algorithm which has fewer adjustable parameters and can thus guarantee the accuracy and stability of the prediction mechanism is also proposed. …”
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    Article
  3. 3

    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

    Published 2019
    “…There is no particular study which focuses on the optimization and prediction of blades parameters using natural inspired algorithms namely Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) and Adaptive Neuro-fuzzy Interface System (ANFIS) respectively for optimal power coefficient (�436�45D ). …”
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    Thesis
  4. 4

    Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim by Abdul Rahim, Siti Rafidah

    Published 2019
    “…The voltage dependent load has a main impact on distribution system planning studies. …”
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    Thesis
  5. 5

    Adaptive load balancing algorithm for wireless distributed computing networks by Alfaqawi, Mohammed, Habaebi, Mohamed Hadi, Siddiqi, Mohammad Umar, Islam, Md. Rafiqul, Khan, Sheroz, Datla, Dinesh

    Published 2016
    “…Furthermore, the channel impact on the distributed tasks by ALB algorithm, in WDC-CRN, is investigated and benchmarked. …”
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    Proceeding Paper
  6. 6

    Optimization of RFID network planning using MDB-FA method by Elewe, Adel Muhsin, Hasnan, Khalid, Nawawi, Azli

    Published 2017
    “…Topology network design in RFID Network Planning (RNP) is the most important factor in hard optimization problems of network planning. Reader distribution is highly impacted by topological tags distribution. …”
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    Article
  7. 7

    Using Particle Swarm Optimization Algorithm in the Distribution System Planning by Shamshiri, Meysam, Gan, Chin Kim, Mariana, Yusoff, Ab Ghani, Mohd Ruddin

    Published 2013
    “…In addition, a case study on IEEE 34 bus system has been carried out to demonstrate the effectiveness of the PSO algorithm with regards to Genetic Algorithm (GA). …”
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    Using particle swarm optimization algorithm in the distribution system planning by Shamshiri, Meysam, Gan, Chin Kim, Jusoff, Kamaruzaman, Hasan, Ihsan Jabbar, Ab Ghani, Mohd Ruddin, Yusoff, Mariana

    Published 2013
    “…In addition, a case study on IEEE 34 bus system has been carried out to demonstrate the effectiveness of the PSO algorithm with regards to Genetic Algorithm (GA). …”
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    Article
  10. 10

    On the fault location algorithm for distribution networks in presence of DG by Farzan, Payam, Izadi, Mahdi, Gomes, Chandima, Ab Kadir, Mohd Zainal Abidin, Hesamian, Mohammad Hesam, Mohd Radzi, Mohd Amran

    Published 2014
    “…Connecting distributed generation (DG) units to the distribute networks impose several impacts on it which have not been considered in conventional fault location algorithms. …”
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    Conference or Workshop Item
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    Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach by Akorede, Mudathir Funsho

    Published 2011
    “…This provides a user friendly interface for the system operator in determining the optimal allocation of a single DG unit in radial distribution networks. …”
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    Thesis
  14. 14

    Network reconfiguration for loss reduction with distributed generations using PSO by Dahalan, W.M., Mokhlis, Hazlie

    Published 2012
    “…The main objective is to reduce the real power losses and improve the bus voltage profile in the system while satisfying all the distribution constraints. A method based on PSO algorithm to determine the minimum configuration is presented and their impact on the network real power losses and voltage profiles are investigated. …”
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    Conference or Workshop Item
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    Genetic algorithm based mass distribution optimization of quadruped leg robot for walking performance enhancement by Loo, Shing Yan

    Published 2013
    “…It also leads to a conclusion that intelligently manipulation of mass distribution can extend walking distance significantly.…”
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    Thesis
  17. 17

    Rift: a high-performance consensus algorithm for Consortium Blockchain by Khan, Fazeel Ahmed, Ibrahim, Adamu Abubakar, Marwan, Mahmoud, Al-Khasawneh, Mahmoud Ahmad, Alarood, Ala Abdulsalam

    Published 2019
    “…The emergence of Blockchain have revolutionize the decentralization in distributed architecture. The advances in the consensus mechanism techniques and the development of different variants of consensus algorithms gives a huge impact on its progress. …”
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    Article
  18. 18

    A Continuous Overlay Path Probing Algorithm For Overlay Networks by Feily, Maryam

    Published 2013
    “…Active measurement techniques performed by overlay nodes can provide bandwidth estimations of an end-to-end overlay path. This thesis describes a new algorithm called “COPPA,” which is an in-band path probing algorithm for measuring the end-to-end available bandwidth of an overlay path accurately and continuously. …”
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    Thesis
  19. 19

    Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network by Noor Ropidah, Bujal, Aida Fazliana, Abdul Kadir, Marizan, Sulaiman, Sulastri, Abdul Manap, Mohamad Fani, Sulaima

    Published 2022
    “…However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. Therefore, optimization algorithms are vital for future intelligent power distribution network planning. …”
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    Article
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