Search Results - (( global optimization techniques algorithm ) OR ( parameter optimization method algorithm ))
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1
Pendulum-like algorithm as a local search technique
Published 2023“…Aluminum; Approximation algorithms; Local search (optimization); Optimization; Pendulums; Problem solving; attraction; Global solutions; Local search; Local search techniques; Optimization problems; repulsion; Repulsion mechanisms; simple harmonic; Parameter estimation…”
Conference Paper -
2
A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…Despite its easy implementation, crow search algorithm has weakness to find global optima and suffers from slow convergence rate in multi-modal optimization problems. …”
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3
A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…Despite its easy implementation, crow search algorithm has weakness to find global optima and suffers from slow convergence rate in multi-modal optimization problems. …”
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4
Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023Subjects:Article -
5
Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Thesis -
6
Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…The obtained results of the proposed algorithm are compared to simulated results of the original Particle Swarm Optimization (PSO) method and the present state-of-the-art optimization techniques. …”
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Article -
7
Particle swarm optimization (PSO) for CNC route problem
Published 2002“…We often see many of the method of Genetic Algorithm (GA), Ant Colony Optimization (ACO), Simulated Annealing Algorithm (SAA) and PSO are used for any optimization problems. …”
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Undergraduates Project Papers -
8
Analysis of toothbrush rig parameter estimation using different model orders in Real-Coded Genetic Algorithm (RCGA)
Published 2018“…Realcoded genetic algorithm (RCGA) as a stochastic global search method was applied for optimization. …”
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Article -
9
TUNING A THREE-PHASE SEPARATOR LEVEL CONTROLLER VIA PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM
Published 2013“…In our case, the global best position is replaced with the optimized PID tuning parameters for the separator. …”
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Final Year Project -
10
Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2013“…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
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Article -
11
Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
Published 2009“…Two stochastic methods for locating global minimum and optimal design parameters of a rectifier power transformer, by Genetic Algorithm (GA) and Simulated Annealing (SA) are presented. …”
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Citation Index Journal -
12
Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems
Published 2009“…One of the more recent global optimization tools in the area of discrete optimization is known as the discrete filled function method. …”
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Thesis -
13
Optimized scheduling for an airconditioning system based on indoor thermal comfort using the multiobjective improved global particle swarm optimization
Published 2018“…The main contribution of this paper is a new optimized AC scheduling approach that focuses on indoor thermal comfort using a new multi-objective optimization algorithm, called the improved global particle swarm optimization (IGPSO), which able to find better optimal solutions faster than its original version, the global particle swarm optimization (GPSO) algorithm. …”
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Article -
14
Extension of RMIL conjugate gradient method for unconstrained optimization / Nur Idalisa Norddin
Published 2023“…Even the global convergence theoretical is available for RMIL method, it only applies for the positive RMIL parameter. …”
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Thesis -
15
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…In the hybrid scheme, the initial parameters of the modified BP neural network are optimized by using the global search ability of genetic algorithm, improved by cat chaotic mapping to enrich its optimization capability. …”
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Thesis -
16
Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
Published 2019“…In our case, the global best position is replaced with the optimized PID tuning parameters for the separator. …”
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Conference or Workshop Item -
17
Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023“…It provides an increased convergence and globally optimized solutions. The algorithm has been tested using actual customer consumption data from SESB. 10 fold cross validation method is used to confirm the consistency of the detection accuracy. …”
Conference Paper -
18
Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
Published 2009“…Abstract-Two stochastic methods for locating global minimum and optimal design parameters of a rectifier power transformer, by Genetic Algorithm (GA) and Simulated Annealing (SA) are presented. …”
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Citation Index Journal -
19
Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
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