Search alternatives:
lower optimization » level optimization (Expand Search), global optimization (Expand Search), spider optimization (Expand Search)
motor optimization » dog optimization (Expand Search), mongoose optimization (Expand Search), monkey optimizations (Expand Search)
lower optimization » level optimization (Expand Search), global optimization (Expand Search), spider optimization (Expand Search)
motor optimization » dog optimization (Expand Search), mongoose optimization (Expand Search), monkey optimizations (Expand Search)
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21
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
22
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23
Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm
Published 2023“…<p>This paper introduces a pioneering fault diagnosis technique termed Interval Ensemble Learning based on Sine Cosine Optimization Algorithm (IEL- SCOA), tailored to tackle uncertainties prevalent in wind energy conversion (WEC) systems. …”
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Performance analysis and optimization of photovoltaic-thermal system with direct contact membrane distillation using metaheuristic algorithms
Published 2025“…The objective is to maximize electrical efficiency, permeate flux, and outlet temperature by considering the effects of flow rates (1–10 L/min), solar irradiation (10–1000 W/m2), and ambient temperatures (291–324 K). Metaheuristic algorithms, including Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are employed to determine the optimal operating parameters. …”
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An Extension Of Rahim And Banerjee'S Model For A Process With Upper And Lower Specification Limits
Published 2020“…We use Hooke and Jeeves search algorithm to optimize the model, and provide a numerical example.…”
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26
Cuckoo search for portfolio optimization. (c2014)
Published 2014Get full text
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masterThesis -
27
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
Published 2024“…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. …”
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28
A new variable structure DC motor controller using geneticalgorithms
Published 1998“…This paper presents a new application of the genetic algorithm for the selection of the variable structure controller (VSC) feedback gains and switching vector for a separately excited DC motor. …”
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A new fuzzy logic controller based IPM synchronous motor drive
Published 2003“…The FLC parameters are optimized by genetic algorithm. The complete vector control scheme incorporating the FLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1 hp interior permanent magnet (IPM) motor. …”
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30
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
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31
Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent Magnet Synchronous Motor Drives
Published 2004“…In this work, initially different operating conditions are obtained based on motor dynamics incorporating uncertainties. At each operating condition a genetic algorithm is used to optimize the PI controller parameters in a closed-loop vector control scheme. …”
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32
Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System
Published 2024“…Furthermore, a higher value of the fl is preferred to guide the optimization process in the direction of global search, whilst a lower fl value directs the algorithm in the direction of local search. …”
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33
Optimizing clopidogrel dose response
Published 2016“…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …”
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34
Adaptive bias simulated evolution algorithm for placement
Published 2001“…Elements with lower goodnesses have higher probabilities of getting selected for perturbation. …”
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35
Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection
Published 2019“…Therefore, to solve this problem and enhance the spatial and frequency diversity orders of large amplify and forward cooperative communication networks, in this paper, we develop three multiple relay selection and distributed beamforming techniques that exploit sparse signal recovery theory to process the subcarriers using the low complexity orthogonal matching pursuit algorithm (OMP). In particular, by separating all the subcarriers or some subcarrier groups from each other and by optimizing the selection and beamforming vector(s) using OMP algorithm, a higher level of frequency diversity can be achieved. …”
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
Published 2020“…The algorithm is an effective yet simple tool to help operators optimize the NCB of their PV facilities. …”
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37
ONLINE CONTROL AND OPTIMIZATION OF DIRECTIONAL DRILLING
Published 2020“…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …”
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masterThesis -
38
Online Control and Optimization of Directional Drilling
Published 2020“…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …”
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masterThesis -
39
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
Published 2023“…First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …”
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