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  1. 1

    Optimized processing of satellite signal via evolutionary search algorithm by Hassan, Azmi, Othman, Rusli, Tang, Kieh Ming

    Published 2000
    “…A combination of three methods, namely optimization, global random search and ambiguity function mapping has produced an efficient and robust mitigation technique. …”
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    Article
  2. 2

    An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system by Jordehi, Ahmad Rezaee

    Published 2014
    “…The results of applying improved leader PSO to IEEE 14 bus power system shows its significant outperformance over six other optimisation algorithms including conventional PSO, mutated PSO, enhanced PSO, harmony search,genetic algorithm and gravitational search algorithm. …”
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    Thesis
  3. 3

    Refinement of Tuned Mass Damper parameters on machine support structure using dynamic Cuckoo Search algorithm by Ahmad Muinuddin, Mahmood, Zamri, Mohamed, Rosmazi, Rosli

    Published 2025
    “…This study proposes the use of a dynamic Cuckoo Search (CS) algorithm, a nature-inspired optimization method, to enhance the accuracy of TMD parameters when external factors, such as excitation frequency or structural properties, change. …”
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    Conference or Workshop Item
  4. 4

    Optimal tuning of virtual inertia control for frequency regulation of microgrid by Fadheel, Bashar Abbas, Abdul Wahab, Noor Izzri, Mahdi, Ali Jafer, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mohammed Ridha, Hussein, Veerasamy, Veerapandiyan

    Published 2024
    “…The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. …”
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    Article
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    Hyperparameter tuning in deep learning using NSGA-III: a Multi-Objective perspective by Mohamad Rom, Abdul Rahman

    Published 2025
    “…The proposed Multi-Objective NSGAIII-DL framework is benchmarked against six baseline optimization strategies—manual search, grid search, random search, Bayesian optimization, particle swarm optimization, and standard genetic algorithms using MNIST and CIFAR-10 datasets. …”
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    Thesis
  8. 8

    Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms by Loo, C.K., Liew, W.S., Seera, M., Lim, Einly

    Published 2015
    “…This was achieved by mitigating convergence in the genetic algorithms by employing a hierarchical parallel architecture. …”
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    Article
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    Detection of black hole attacks in mobile ad hoc networks via HSA-CBDS method by Fahad, Ahmed Mohammed, Ahmed, Abdulghani Ali, Alghushami, Abdullah H., Alani, Sammer

    Published 2019
    “…This paper proposes a solution for detecting black hole attacks on MANET by using harmony search algorithm (DBHSA), which uses harmony search algorithm (HSA) to mitigate the lateness problem caused by cooperative bait detection scheme (CBDS). …”
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    Book Chapter
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    Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms by Almubaidin M.A., Ahmed A.N., Sidek L.M., AL-Assifeh K.A.H., El-Shafie A.

    Published 2025
    “…The results revealed that the used algorithms effectively mitigated water shortages and excess releases compared to the current operational strategy. …”
    Article
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    Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar by Vijyakumar, Kanendra Naidu

    Published 2015
    “…The edge reduction algorithm is initially applied to reduce the search space to obtain the initial solution. …”
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    Thesis
  16. 16

    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

    Published 2019
    “…Spearman Correlation was used to checked multi-collinearity effect on debris flow conditioning factors; evaluations factors of Information Value (IV), Crammer V were assessed.Wrapper feature subset selection technique was used, different metaheuristic search algorithms (e.g. …”
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    Thesis
  17. 17

    Training size optimization with reduced complexity in cell-free massive MIMO system by Ullah, Sayeid M. Sahid, Mahyiddin, Wan Amirul Wan Mohd, Zakaria, Nur Azira, Latef, Tarik Abdul, Noordin, Kamarul Ariffin, Dimyati, Kaharudin

    Published 2019
    “…Training sequence is used in multiple antenna systems to estimate channel state information and mitigate channel distortion between transmitter and receiver. …”
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    Article
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