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  1. 1
    Optimal power flow using hybrid firefly and particle swarm optimization algorithm

    Optimal power flow using hybrid firefly and particle swarm optimization algorithm by Khan, Abdullah, Hizam, Hashim, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutfi

    Published 2020
    “…In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Optimization (HFPSO) algorithm is applied to solve different non-linear and convex optimal power flow (OPF) problems. …”
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  2. 2
    EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile

    EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile by Mohd Herwan, Sulaiman, Omar, Aliman, Siti Rafidah, Abdul Rahim, Mohd Rafi, Adzman

    Published 2011
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  3. 3
    Recent advances of whale optimization algorithm, its versions and applications

    Recent advances of whale optimization algorithm, its versions and applications by Alyasseri Z.A.A., Ali N.S., Al-Betar M.A., Makhadmeh S.N., Jamil N., Awadallah M.A., Braik M., Mirjalili S.

    Published 2024
    “…One of the SI algorithms is called the whale optimization algorithm (WOA). …”
    Book chapter
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  4. 4
    Optimization and analysis of maximum temperature in a battery pack affected by low to high Prandtl number coolants using response surface methodology and particle swarm optimization algorithm

    Optimization and analysis of maximum temperature in a battery pack affected by low to high Prandtl number coolants using response surface methodology and particle swarm optimizatio... by Afzal, Asif, Mokashi, Imran, Khan, Sher Afghan, Abdullah, Nur Azam, Azami, Muhammad Hanafi

    Published 2020
    “…The maximum temperature of the battery pack is analyzed using response surface methodology, optimization of maximum temperature is performed using particle swarm optimization algorithm, and regression analysis is carried out at the end of this work. …”
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  5. 5
    A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission

    A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission by Islam, Mohammad Zohrul, Abdul Wahab, Noor Izzri, Veerasamy, Veerapandiyan, Hizam, Hashim, Mailah, Nashiren Farzilah, Guerrero, Josep M., Mohd Nasir, Mohamad Nasrun

    Published 2020
    “…The obtained results are compared with the other Artificial Intelligence (AI) techniques such as the Whale Optimization Algorithm (WOA), the Salp Swarm Algorithm (SSA), Moth Flame (MF) and Glow Warm Optimization (GWO). …”
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  6. 6
    Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using asic design flow: article / Nurzaima Mahmod

    Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using asic design flow: article / Nurzaima Mahmod by Mahmod, Nurzaima

    “…The scope of this paper is to optimize the DNA sequences alignment on the matrix rilling module by implementing a parallel method of the Smith-Waterman algorithm. …”
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  7. 7
    Execution time optimization analysis on multiple algorithms performance of moving object edge detection

    Execution time optimization analysis on multiple algorithms performance of moving object edge detection by Islam S.Z., Islam S.Z., Jidin R., Mohd. Ali Mohd.A.

    Published 2023
    “…This paper analyzes execution time optimization analysis between Sobel and Canny image processing algorithms in terms of moving objects edge detection. …”
    Conference paper
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  8. 8
    Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using ASIC design flow / Nurzaima Mahmod

    Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using ASIC design flow / Nurzaima Mahmod by Mahmod, Nurzaima

    Published 2010
    “…The scope of this paper is to optimize the DNA sequences alignment on the matrix filling module by implementing a parallel method of the SmithWaterman algorithm. …”
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    Thesis
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  9. 9
    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms

    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

    Published 2017
    “…Finally, two novel hybrid optimization algorithms namely, FLP-QOJaya algorithm for single objective OPF problems and MFLP-QOMJaya algorithm for MOOPF problems are proposed. …”
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  10. 10
    Design and analysis of high performance and low power matrix filling for DNA sequence allignment accelerator using ASIC design flow / Nurul Farhana Abd Razak

    Design and analysis of high performance and low power matrix filling for DNA sequence allignment accelerator using ASIC design flow / Nurul Farhana Abd Razak by Abd Razak, Nurul Farhana

    Published 2010
    “…The objective of this paper is to improve the performance of the DNA sequence alignment and to optimize power reduction of the existing technique by using Smith Waterman (SW) algorithm. …”
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  11. 11
    Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2)

    Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2) by Thian, Laah Lean, Al-Saegh, Ali Mohammed, Ramli, K. F., Ibrahim, N. S., Sali, Aduwati, Salman, Mustafa Ismael

    Published 2013
    “…In this paper, an energy-driven scheduling algorithm with optimized throughput, termed as Energy Efficiency Fair (EEF) queuing algorithm, is proposed. …”
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  12. 12
    Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems

    Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems by Salman, Mustafa Ismael

    Published 2015
    “…To achieve this objective, an iterative approach based on swarm intelligence is used to find the optimal CQI threshold at which the competing criteria are optimized. …”
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  13. 13
    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems

    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

    Published 2014
    “…The algorithm generates an integrated scheduling and detail paths route while optimizing makespan, AGV travel time, mean flow time and penalty cost due to jobs tardiness and delay as a result of conflict avoidance. …”
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  14. 14
    Electricity distribution network for low and medium voltages based on evolutionary approach optimization

    Electricity distribution network for low and medium voltages based on evolutionary approach optimization by Hasan, Ihsan Jabbar

    Published 2015
    “…This thesis proposes an algorithm to find the optimum distribution substation placement and sizing by utilizing the PSO algorithm and optimum feeder routing using modified Minimum Spanning Tree (MST). …”
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  15. 15
    Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation

    Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation by Hasneeza Liza, Zakaria

    Published 2020
    “…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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  16. 16
    Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection

    Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection by Tahseen Ahmad, Tahseen

    Published 2014
    “…Subsequently, the overall heat transfer rate and power pumping among the tubes, fins, and fluid flow were calculated. The algorithm of semi-implicit method for pressure-linked equations was utilized to link the pressure fields with velocity. …”
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  17. 17
    Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory

    Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory by Gan, Chin Kim, Keek, Joe Siang, Al-Areqi, Khaldon Ahmed Qaid, Tee, Wei Hown, Sardi, Junainah

    Published 2023
    “…The considered objective functions aim to improve the network performance by reducing power loss, voltage deviations and system costs.Pseudo code of BESS optimal sizing with multi-objective algorithm is presented in this research. …”
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  18. 18
    Optimal capacitor allocation in distribution system using particle swarm optimization

    Optimal capacitor allocation in distribution system using particle swarm optimization by Hasan, Ihsan Jabbar, Shamshiri, Meysam, Gan, Chin Kim, Ab Ghani, Mohd Ruddin, Bugis, Ismadi

    Published 2013
    “…The result shows that the proposed algorithm is more cost effective and has lower power losses compare to the IEEE standard case. …”
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  19. 19
    Parallel CFD Simulations of Multiphase Systems: Jet into a Cylindrical Bath and Rotary Drum on a Rectangular Bath.

    Parallel CFD Simulations of Multiphase Systems: Jet into a Cylindrical Bath and Rotary Drum on a Rectangular Bath. by Hasan, Nurul

    Published 2001
    “…Most of the developed commercial CFD (Computational Fluid Dynamics) packages do not attempt to document (or don’t want to publish !!) the detailed algorithm for parallelising the code; even the ordinary solution strategies are tedious to learn sometimes. …”
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  20. 20
    A Bat-inspired Strategy for Pairwise Testing

    A Bat-inspired Strategy for Pairwise Testing by Alsariera, Yazan A., Mazlina, Abdul Majid, Kamal Z., Zamli

    Published 2015
    “…Recently, there are growing interests for adapting optimization algorithms as the basis of the newly developed strategies. …”
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