Search Results - (( problem implementation using algorithm ) OR ( loading optimization system algorithm ))

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  1. 1

    Network reconfiguration and control for loss reduction using genetic algorithm by Jawad, Mohamed Hassan Izzaldeen

    Published 2010
    “…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
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    Thesis
  2. 2

    Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar by Vijyakumar, Kanendra Naidu

    Published 2015
    “…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. …”
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    A high-performance democratic political algorithm for solving multi-objective optimal power flow problem by Ahmadipour M., Ali Z., Othman M.M., Bo R., Javadi M.S., Ridha H.M., Alrifaey M.

    Published 2025
    “…To achieve this goal, the successful implementation of an expeditious and reliable optimization algorithm is crucial. …”
    Article
  5. 5

    Application of pattern search method to economic load dispatch with valve point loading / Siti Aisah Md. Sari by Md. Sari, Siti Aisah

    Published 2010
    “…The optimization of ED in power system is implemented through Optimization Toolbox in Matlab and PS technique is used as solver. …”
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  6. 6

    Multi-objective service restoration in distribution networks using genetic algorithm by Moazami, Ehsan

    Published 2013
    “…This thesis presents a new approach of supply restoration service using the Genetic Algorithm. The GA is robust in searching a global optimal solution for the large-scale combinatorial optimization problems. …”
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  7. 7

    Simulated annealing for solving economic dispatch problem / Wan Khairulizuan Wan Ismail by Wan Ismail, Wan Khairulizuan

    Published 2010
    “…SA algorithm used in this study was implemented by using MATLAB 7.8.0 (R2009a). …”
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  8. 8

    Ant colony optimization for solving economic dispatch of power system: article / Muhammad Shukri Che Hashim by Che Hashim, Muhammad Shukri

    Published 2009
    “…ACO algorithm used in this study was implemented by using MATLAB 7.6.0 (R2008a). …”
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    Article
  9. 9

    Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim by Che Hashim, Muhammad Shukri

    Published 2009
    “…ACO algorithm used in this study was implemented by using MATLAB 7.6.0 (R2008a). …”
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    Thesis
  10. 10

    An Application of Flower Pollination Algorithm to Solve Combined Economic Emission Dispatch by Considering Valve-point Loading Effect by Hong, Mee Song, M. H., Sulaiman, Mohd Rusllim, Mohamed

    Published 2015
    “…This paper presents implementation of FPA optimization in solving Combined Economic Emission Dispatch (CEED) problems in power system. …”
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    Article
  11. 11

    Optimal penalty method in distribution service restoration using genetic algorithm by Moazami, Ehsan, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Izadi, Mahdi, Mirzaei, Maryam

    Published 2013
    “…This study presents a new approach of supply restoration service using the Genetic Algorithm (GA). A new hybrid Genetic Algorithm is proposed for reducing the search space. …”
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    Conference or Workshop Item
  12. 12
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    An efficient control implementation for inverter based harmony serach algorithm by Najeeb, Mushtaq, Hamdan, Daniyal, Ramdan, Razali, Muhamad, Mansor

    Published 2017
    “…The mean absolute error (MAE) is used as an optimization problem to minimize the output voltage error for the developed controller (PI-HS) as compared to the PI controller based particale swarm optimization algorithm (PI-PSO). …”
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    Article
  14. 14

    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm by Hong, Mee Song

    Published 2016
    “…In this research, the valve point loading effect problem in power system also will be considered. …”
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    Thesis
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    Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian by Talebian, Seyed Hamid

    Published 2013
    “…In this research, we showed how evolutionary multi-objective algorithms can be used to solve the view selection problem and its advantage over classical optimization problems were described. …”
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    Thesis
  17. 17

    An Efficient Control Implementation for Inverter Based Harmony Search Algorithm by Najeeb, Mushtaq, Hamdan, Daniyal, Ramdan, Razali, Muhamad, Mansor

    Published 2017
    “…The mean absolute error (MAE) is used as an optimization problem to minimize the output voltage error for the developed controller (PI-HS) as compared to the PI controller based particale swarm optimization algorithm (PI-PSO). …”
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    Article
  18. 18

    An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems by Hong, Mee Song, M. H., Sulaiman, Mohd Rusllim, Mohamed

    Published 2014
    “…The proposed algorithm will be implemented in two different systems which are 6 and 11-generating unit test systems with different constraints on various power load demands. …”
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    Article
  19. 19

    Tap Settings Optimization in Power Systems: Economic Efficiency Enhancement Through Cuckoo Search Algorithm While Ensuring Voltage Stability by Raizal N.I., Mansor M.H., Musirin I., Shaaya S.A., Ismail S.A., Ismail N.L.

    Published 2024
    “…This paper presents an approach to enhance the economic efficiency of power systems through tap settings optimization using Cuckoo Search Algorithm (CSA), while ensuring voltage stability. …”
    Conference Paper
  20. 20

    Emission and valve point loading cost using superiority of feasible solutions-moth flame optimization by Alam, Mohammad Khurshed, Mohd Herwan, Sulaiman, Sayem, Md. Shaoran, Imtiaz, Shahriar, Ringku, Md Mahfuzer Akter, Khan, Rahat

    Published 2023
    “…Analyze the poorest options suggested by the comparison algorithm, it saves money by 0.9873 % per hour. Based on simulation results, the SH-MFO method provides an improved and effective optimization algorithm for optimal power flow problems.…”
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    Conference or Workshop Item