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  1. 1

    Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation by Khan, Abdullah

    Published 2022
    “…The HFPSO technique hybridizes the Firefly Optimization (FFO) algorithm and the Particle Swarm Optimization (PSO) method to improve the exploitation and exploration strategies and enhance the convergence rate. …”
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    Thesis
  2. 2

    Optimal allocation of battery energy storage system using whale optimization algorithm by Wong L.A., Ramachandaramurthy V.K.

    Published 2023
    “…Battery storage; Electric batteries; Battery energy storage systems; Firefly algorithms; Loss reduction; Meta-heuristic methods; Optimal allocation; Optimization algorithms; Overall system loss reduction; Performance; System loss; Whale optimization algorithm; Particle swarm optimization (PSO)…”
    Conference Paper
  3. 3

    Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct... by Wong Ling Ai

    Published 2023
    “…Besides, an optimization algorithm with high efficiency is important to ensure the attainment of optimal solutions, where the optimization algorithms like genetic algorithm and particle swarm optimization are known to have high possibility of being trapped in local optimal points. …”
    text::Thesis
  4. 4

    Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids consi... by Naderipour A., Abdul-Malek Z., Nowdeh S.A., Ramachandaramurthy V.K., Kalam A., Guerrero J.M.

    Published 2023
    “…Genetic algorithms; Microgrids; Particle swarm optimization (PSO); Power generation; Reliability; Combined heat and power; Loss reduction; Maximum allowable; Micro grid; Voltage profile; Electric load loss; combined heat and power; energy planning; numerical method; optimization; power plant; reduction; standard (reference)…”
    Article
  5. 5

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

    Published 2017
    “…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
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  6. 6

    Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman by Azman, Alya Kauthar

    Published 2025
    “…This study applies Genetic Algorithms (GA) to optimize space distribution for test scheduling, addressing the challenge of managing multiple test sessions across distinct locations. …”
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  7. 7

    Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

    Published 2018
    “…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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  8. 8

    Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement by Ab Ghani, Mohd Ruddin, Hasan, Ihsan Jabbar, Gan, Chin Kim

    Published 2014
    “…In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. …”
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    Conference or Workshop Item
  9. 9

    Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement by Ab Ghani, Mohd Ruddin, Hasan, Ihsan Jabbar, Gan, Chin Kim

    Published 2014
    “…In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. …”
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  10. 10

    Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement by Ab Ghani, Mohd Ruddin, Hasan, Ihsan Jabbar, Gan, Chin Kim

    Published 2014
    “…In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. …”
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    Conference or Workshop Item
  11. 11

    Controller placement problem in the optimization of 5G based SDN and NFV architecture by Ibrahim, Abeer Abdalla Zakaria

    Published 2021
    “…If the control plane fails to improve system resilience quality, A reliable RAMCP is formulated as an optimal solution for fault tolerance. Furthermore, the approach is extended with a Particle Swarm Algorithm (PSO) and presented as a hybrid RASCP to validate the optimal location and number of controllers. …”
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  12. 12

    Determining penetration limit of central distributed generation topology in radial distribution networks by Suliman, Mohamed Saad Abdelgadir

    Published 2021
    “…The biogeography based optimization method has been proven to have better performance than artificial bee colony, genetic algorithm, particle swarm optimization, hybrid of particle swarm optimization and constriction factor approach, and hybrid of ant colony optimization and artificial bee colony methods in terms of active power loss reduction. …”
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  13. 13

    HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION by Kappagantula, S., Vojjala, S., Iyer, A.A., Velidi, G., Emani, S., Vandrangi, S.K.

    Published 2023
    “…In this paper, we study the advantages of fusing the Meta-Heuristic Bat Algorithm with Heuristic Optimization. We have implemented the Meta- Heuristic Bat Algorithm and tested it on a heterogeneous swarm. …”
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    Article
  14. 14

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…The application of FES optimized by GA on regionalization creates opportunities for further researches which utilizes different types of optimization like Ant Colony Optimization (ACO), ANN’s, Particle Swarm Optimization (PSO) and Imperialist Competitive Algorithm (ICA).…”
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  15. 15

    Normative Fish Swarm Algorithm For Global Optimization With Applications by Tan, Weng Hooi

    Published 2019
    “…Referred to as Normative Fish Swarm Algorithm (NFSA), the proposed Fish Swarm Algorithm, Optimized by Particle Swarm Optimization with Extended Memory (PSOEM-FSA) is expanded by amalgamating the normative knowledge to provide supplementary guidelines for better global optimum achievement and convergence rate. …”
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    Optimum allocation of capacitor and DG in MV distribution network using PSO and opendss by El Tawil, Naji Ammar Mansour, Sulaiman, Marizan, Shamshiri, Meysam, Ibrahim, Zulkifilie

    Published 2019
    “…The optimum capacitor and distributed generation (DG) allocation in medium voltage (MV) distribution network utilizing particle swarm optimization (PSO) for selecting the optimum size and placement of (DG) units can significantly affect the distribution network. …”
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    Article
  18. 18

    Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar by Duaa , Mehiar

    Published 2021
    “…Despite the significance of the Robotic Darwinian Particle Swarm Optimization (RDPSO) algorithm on swarm-robot exploration and communication, there remain notable gaps such as premature and slow convergence, collisions between robots, and communication breaks and constraints. …”
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  19. 19

    Losses Reduction and Voltage Improvement Using Optimum Capacitor Allocation by PSO in Power Distribution Networks by Hasan, Ihsan Jabbar, Gan, Chin Kim, Shamshiri, Meysam, Ismadi , Bugis, Ab Ghani, Mohd Ruddin

    Published 2013
    “…In both cases, the optimum capacitor allocation has been applied by the proposed PSO to find the best possible capacitor location and size. …”
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    Article
  20. 20

    Improving Ant Swarm Optimization With Embedded Vaccination For Optimum Reducts Generation by Pratiwi, Lustiana, Choo, Yun Huoy, Draman @ Muda, Azah Kamilah, Draman @ Muda, Noor Azilah

    Published 2011
    “…Ant Swarm Optimization refers to the hybridization of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms to enhance optimization performance. …”
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    Conference or Workshop Item