Search Results - (( optimal bus algorithm ) OR ( optimal ((code algorithm) OR (cell algorithm)) ))

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

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

“…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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An Optimal Scheduling Controller for Virtual Power Plant and Microgrid Integration Using the Binary Backtracking Search Algorithm by Abdolrasol M.G.M., Hannan M.A., Mohamed A., Amiruldin U.A.U., Abidin I.B.Z., Uddin M.N.

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

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

“…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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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.

“…The fault identification prior to reclosing is based on optimized artificial neural network associated with three different training algorithms. …”
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An Optimized Binary Scheduling Controller for Microgrid Energy Management Considering Real Load Conditions by Mannan M., Roslan M.F., Reza M.S., Mansor M., Jern K.P., Hossain M.J., Hannan M.A.

“…This study presents an optimal schedule controller for microgrid energy management, utilizing the Binary Particle Swarm algorithm (BPSO) to minimize costs and ensure optimal power delivery to loads. …”

Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent by Rasheed M.A., Verayiah R.

ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation by Hannan M.A., Abdolrasol M.G., Mohamed R., Al-Shetwi A., Ker P., Begum R., Muttaqi K.

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

“…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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Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

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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

“…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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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

“…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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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

“…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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A new dynamic code assignment algorithm for joint CDMA and SDMA system by Odeh, Nidhal A. S., Khatun, Sabira, Ismail, Alyani, Mohd Ali, Borhanuddin

“…This article describes an optimal dynamic code assignment algorithm, which can be used to maximize the total number of users in combined C-SDMA system with minimum required quality of service (QoS) and limited number of codes. …”
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Minimizing the maintenance costs of shuttle bus services using iterative heuristic by Mat Desa, Wan Laailatul Hanim, Alwi, Azatuliffah, Gan, Sheue Lynn, Soo, Jing Wen

“…Spending on maintenance and repair services is a normal activity faced by shuttle bus management. Without well planned on managing maintenance and repair cost may contribute to shorten life span of vehicles due to breakdowns.However, proper management of maintenance and repair services would keep the vehicle in good condition and longer service life.In this study, a formulation of mathematical modelling is proposed based on iterative local search by using Heuristic Techniques.The objective function is to minimize the maintenance cost while assigning only one cell to each repair agencies.The collected data has been computed into assignment problem, and solved using an iterative local search of the improved algorithms.This study will be helpful to improve the management system of UNIbus in terms of costs savings.The formulation will be repeated for at least 3 iteration sets, as the stated objective function.Empirical results show the optimal solution as expected.A few suggestions have been made based on the experimental results for identifying the best solution to optimize objective function.…”
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Computational intelligence technique for DG installation within contingency scenario / Muhamad Saifullah Mahmud Affandi by Mahmud Affandi, Muhamad Saifullah

“…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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Multi-dimensional optimization of In0.53Ga0.47As thermophotovoltaic cell using real coded genetic algorithm by Gamel M.M.A., Ker P.J., Lee H.J., Rashid W.E.S.W.A., Hannan M.A., David J.P.R., Jamaludin M.Z.

“…The reported efficiencies of In0.53Ga0.47As TPV cell mostly remain < 15%. Therefore, this work develops a multi-variable or multi-dimensional optimization of In0.53Ga0.47As TPV cell using the real coded genetic algorithm (RCGA) at various radiation temperatures. …”

Artificial intelligent power prediction for efficient resource management of WCDMA mobile network by Tee Y.K., Tinng S.K., Koh J., David Y.

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Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau by Tan , Chee Hau

“…Production line commonly used algorithm such as shortest processing time (SPT), longest processing time (LPT), cycle time optimization and centre of gravity (CoG) algorithm are coded in this system which enables the production schedule and sequence to be optimized. …”
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