Search Results - (( system implementation case algorithm ) OR ( using optimization method algorithm ))
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1
Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
Published 2023“…The ABC algorithm method has been implemented into the test system of IEEE 33 bus system which is showed in 3 cases. …”
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2
An improved firefly algorithm for optimal microgrid operation with renewable energy
Published 2017“…The IFA method has been implemented using MATLAB software. …”
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3
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…The next experiment is the application of image template matching for distance measurement using stereo vision system. SKF is compared with PSO, BAM, stereo algorithm for stereo vision system and ground truth data for distance measurement of 24 different cases. …”
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4
Omega grey wolf optimizer (ωGWO) for optimization of overcurrent relays coordination with distributed generation
Published 2019“…The GWO algorithm is tested to four different test cases which are IEEE 3 bus (consists of six OCRs), IEEE 8 bus (consists of 14 OCRs), 9 bus (consists of 24 OCRs) and IEEE 15 bus (consists of 42 OCRs) test systems with normal inverse (NI) characteristic curve for all test cases and very inverse (VI) curve for selected cases to test the flexibility of the GWO algorithm. …”
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5
Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
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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6
A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
Published 2019“…First, three different optimization algorithms, namely particle swarm optimization, differential evolution, and whale optimization algorithm, have been applied. …”
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Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
Published 2021“…Optimal Power Flow (OPF) is one of the most significant tools used over a decade to till date in energy management system for reliable operation and planning of modern power system. …”
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8
Test case minimization applying firefly algorithm
Published 2018“…Many approaches on test case minimization use genetic algorithms, model checking, or graph search algorithms to reduce the number of generated test cases, also the using of UML diagrams to test the system requirements and design before implementing it in the coding phase.However, these studies lack concentration in achieving higher coverage criteria and minimization in the generated test cases in the same time. …”
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Application of pattern search method to economic load dispatch with valve point loading / Siti Aisah Md. Sari
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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10
A Comparison of Particle Swarm optimization and Global African Buffalo Optimization
Published 2020“…In many cases, PSO and GABO are promising optimization methods.…”
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Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system
Published 2021“…To further evaluate the real-time performance of the MPPT algorithms, hardware-in-the-loop (HIL) was utilized to emulate the behavior of the PV system and power converter while a digital signal processor (DSP) was used to implement the MPPT algorithms in study. …”
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12
A high-performance democratic political algorithm for solving multi-objective optimal power flow problem
Published 2025“…To achieve this goal, the successful implementation of an expeditious and reliable optimization algorithm is crucial. …”
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A high-performance democratic political algorithm for solving multi-objective optimal power flow problem
Published 2024“…To achieve this goal, the successful implementation of an expeditious and reliable optimization algorithm is crucial. …”
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Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…Metaheuristic algorithms have been used successfully for solving different optimization problems. …”
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15
Dynamic Economic Dispatch For Power System
Published 2016“…The last part of the dissertation is dedicated to the comparison of solution results obtained by using PSO method and the Dantzig-Wolfe decomposition method for different cases of size and complexity. …”
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16
An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
Published 2016“…Flower Pollination Algorithm (FPA) is a new biologically inspired meta-heuristic optimization technique based the pollination process of flowers. …”
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17
Multi-objective service restoration in distribution networks using genetic algorithm
Published 2013“…The effectiveness of the proposed method is demonstrated by testing on two case studies, a 33-bus test system and a 16 bus test system. …”
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18
Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol
Published 2023“…To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. …”
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Moth flame optimization maximum power point tracking algorithm for photovoltaic system under partial shaded conditions
Published 2022“…This paper presents a study in maximum power point tracking (MPPT) technique in solar photovoltaic (PV) using moth flame optimization (MFO) algorithm. Despite the solar PV is one of the most popular method for power generation, the effort to maximize the energy yield from the installed PV system remains a challenge. …”
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20
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems
Published 2016“…In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and computational complexity in cases of fully-loaded and overloaded multi-user scenarios. …”
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