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  1. 1
    Optimality of bus-invert coding

    Optimality of bus-invert coding by Rokhani, Fakhrul Zaman, Kan, Wen Chih, Kieffer, John, Sobelman, Gerald E.

    Published 2009
    “…To do so, we first represent the bus and invert line using a trellis diagram. Then, we show that applying bus-invert coding to a sequence of words gives the same result as would be obtained by using the Viterbi algorithm, which is known to be optimal. …”
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  2. 2
    Study of optimal EG placement in radial distribution system using real coded genetic algorithm

    Study of optimal EG placement in radial distribution system using real coded genetic algorithm by M. H., Sulaiman, Omar, Aliman

    Published 2011
    “…This paper proposes a study of embedded generation (EG) placement in radial distribution system by utilizing real coded genetic algorithm (RCGA) technique. Several cases of EG models placements are studied in order to minimize the total power losses and to improve voltage profiles of the system. …”
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  3. 3
    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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  4. 4
    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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  5. 5
    Assessment of ANN-based auto-reclosing scheme developed on single machine-infinite bus model with IEEE 14-bus system model data

    Assessment of ANN-based auto-reclosing scheme developed on single machine-infinite bus model with IEEE 14-bus system model data by Fitiwi, D. Z., K., S. Rama Rao.

    Published 2009
    “…The fault identification prior to reclosing is based on optimized artificial neural network associated with three different training algorithms. …”
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  6. 6
    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems

    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

    Published 2018
    “…This thesis studies multiobjective UTSP consisting of frequency setting, timetabling, simultaneous bus and driver scheduling by applying Multiple Tabu Search (MTS) algorithm. …”
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  7. 7
    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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  8. 8
    Advancing voltage control in DC microgrids: a comparative study with IGWO-based H∞ control

    Advancing voltage control in DC microgrids: a comparative study with IGWO-based H∞ control by Kavousighahfarokhi, Arash, Mohd Radzi, Mohd Amran, Noorbakhsh, S. Mohammad, Khorshidi, Elahe, Hematzadeh Dastgerdi, Pedram, Karimi, Mojtaba, Torki Harchegani, Amir

    Published 2024
    “…However, nonlinear loads, like constant power loads (CPLs), can cause instability in DC-MGs and result in a voltage drop in the primary DC bus. This paper proposes the utilization of an Improved gray Wolf Optimization (IGWO) algorithm-based H-infinity (H∞) control approach to enhance traditional droop control techniques and address instability concerns. …”
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  9. 9
    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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  10. 10
    Computational intelligence technique for DG installation within contingency scenario / Muhamad Saifullah Mahmud Affandi

    Computational intelligence technique for DG installation within contingency scenario / Muhamad Saifullah Mahmud Affandi by Mahmud Affandi, Muhamad Saifullah

    Published 2014
    “…The Artificial Bee Colony (ABC) algorithm technique for solving the problem of optimal location and sizing of DG on distributed systems is presented. …”
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  11. 11
    Losses Reduction and Voltage Improvement Using Optimum Capacitor Allocation by PSO in Power Distribution Networks

    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
    “…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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  12. 12
    Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems

    Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems by Sulaiman, Mohd Herwan

    Published 2017
    “…In this research, new nature-inspired meta-heuristic optimization algorithms namely moth-flame optimizer (MFO) and Ant Lion Optimizer (ALO) were implemented to address the optimal reactive power dispatch (ORPD) problems. …”
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  13. 13
    Optimal under voltage load shedding based on stability index by using artificial neural network

    Optimal under voltage load shedding based on stability index by using artificial neural network by Sharman, Sundarajoo

    Published 2020
    “…The developed algorithm was tested on IEEE 33-Bus and IEEE 69-Bus radial distribution systems. …”
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  14. 14
    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm

    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm by Mohammed, Zahraa Abdulkareem

    Published 2017
    “…These two algorithms are compared to their original artificial intelligence algorithms, i.e. particle swarm optimization algorithm and genetic algorithm. …”
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  15. 15
    Artificial bee colony algorithm for solving optimal power flow problem

    Artificial bee colony algorithm for solving optimal power flow problem by Le Dinh, L., Vo Ngoc, D., Vasant, P.

    Published 2013
    “…The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. …”
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  16. 16
    Network reconfiguration and control for loss reduction using genetic algorithm

    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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  17. 17
    Optimal power flow solutions for power system operations using moth-flame optimization algorithm

    Optimal power flow solutions for power system operations using moth-flame optimization algorithm by Salman Ameen Ali, Abdullah Alabd

    Published 2021
    “…In IEEE 57-bus test system, MFO offers a minimization of 19.16% compared to 19.03% and 18.98% for Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA) respectively. …”
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  18. 18
    Particle swarm optimisation for reactive power compensation on Oman 6 bus electrical grid

    Particle swarm optimisation for reactive power compensation on Oman 6 bus electrical grid by Al Mamari, Adnan Saif, Toha, Siti Fauziah, Ahmad, Salmiah, Al Mamari, Ali Salim

    Published 2021
    “…This projected algorithm is performed on Oman 6 bus electrical grid as oman electricity transmission company has an instability voltage issue in chosen 6 bus.…”
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  19. 19
    Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times

    Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times by Deelertmongkolchai, Satjayod, Chumwatana, Todsanai, Thaiupathump, Choonhapong

    Published 2016
    “…However, they are suffering from the long hours in traffic jam especially in rush hour.They also cannot avoid this such jam as bus routes are fixed by Bangkok Mass Transit Authority (BMTA).This paper aims to propose a technique for finding an Optimal Bus Route in Time-Dependent Travel Times by using graph algorithm and data mining technique. …”
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  20. 20
    Optimal Placement of Phasor Measurement Unit (PMU) using genetic algorithm & cuckoo search algorithm

    Optimal Placement of Phasor Measurement Unit (PMU) using genetic algorithm & cuckoo search algorithm by Midi, Nur Shahida, Mohd Hanfi, Nurhazwani, Hussin, Mohd Fahmi, Abu Hanifah, Mohd Shahrin

    Published 2025
    “…The IEEE 57-bus test system is used as the benchmark model for algorithm evaluation. …”
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