Search Results - (( using function a algorithm ) OR ( automatic optimization technique algorithm ))
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1
Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
Published 2010“…FPSO incorporates fuzzy edge detection technique as the initial population and the optimum membership value as the fitness function in the particle swarm optimization algorithm. …”
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Thesis -
2
Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
Published 2019“…Many variants have been developed to cope with this problem and improve algorithm performance. In this paper, a hybrid algorithm of HS with grey wolf optimizer (GWO) has been developed to solve the problem of HS parameter selection. …”
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Article -
3
PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique
Published 2012“…ACO algorithm is used as the technique for the PID controller parameters optimization. …”
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Final Year Project -
4
Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…This controller achieves in the same time the design requirements that arise from both QFT and control techniques. The PSO algorithm is used to obtain the controller parameters by minimizing a new proposed cost function subject to QFT and constraints. …”
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5
Performance Analysis of ARMA based Magnetic Resonance Imaging (MRI) Reconstruction Algorithm
Published 2012“…In this research work, a new method of Autoregressive Moving Average (ARMA) coefficients using three layer complex valued neural network ARMA techniques (CVNN-CARMA) with split complex-value weight and adaptive linear activation functions is hereby proposed. …”
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Monograph -
6
Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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7
Evolutionary Multiobjective optimization for automatic generation Of Neural game controller
Published 2013“…A new fitness function has been proposed as well in this research. …”
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Research Report -
8
Optimization of a robust sigmoid PID controller for automatic voltage regulation using the nonlinear sine-cosine algorithm with amplifier feedback dynamic weighted (AFDW) system
Published 2025“…The given paper presents a robust Sigmoid-based Proportional-Integral-Derivative (SPID) controller for Automatic Voltage Regulator (AVR) systems, optimized using the Nonlinear Sine Cosine Algorithm (NSCA) enhanced with the Amplifier Feedback Dynamic Weighted (AFDW) system. …”
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Article -
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A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
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Working Paper -
10
Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
Published 2022“…Initially, the proposed IASO is validated using a classical benchmark function and its performance is compared with ASO algorithm. …”
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11
Fast PID tuning of AVR system using memory-based smoothed functional algorithm
Published 2024“…This study introduces a novel approach using a memory-based smoothed functional algorithm (MSFA) to tune the PID controller in AVR systems. …”
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Conference or Workshop Item -
12
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The whole constraint analyzer and the fitness function were combined with four SBTs (genetic algorithm, evolutionary algorithm, simulating annealing, and quantum genetic algorithm). …”
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13
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Secondly, a new DE algorithm (ARDE-SPX) is introduced that automatically adapts a repository of DE strategies and parameters control schemes to avoid the problems of stagnation and make DE respond to a wide range of function characteristics at different stages of evolutionary search. …”
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14
Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli
Published 2014“…The direct idea of making the conventional neural network learning algorithm more powerful towards outlying data is by replacing the mean square error (MSE) with a different symmetric and continuous cost function. …”
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Book Section -
15
Reverse engineering of planar objects using gas
Published 2013“…The rational cubic functions were used to find the optimal solution of the curve fitting problem with the help of a soft computing technique genetic algorithm which finds appropriate values of shape parameters in the description of rational cubic functions.…”
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Article -
16
Feedforward neural network for solving particular fractional differential equations
Published 2024“…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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17
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Published 2018“…A trend that has emerged recently is to make the algorithm parameters automatically adapt to different problems during optimization, thereby liberating the user from the tedious and time-consuming task of manual setting. …”
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18
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…In general, genetic based clustering algorithms showed the ability to reach near global optimal solution. …”
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Thesis -
19
Predictive Functional Control With Reduced-Order Observer Design Using Particle Swarm Optimization For Pneumatic System
Published 2020“…An optimization technique will be implemented in this project using Particle Swarm Optimization (PSO) algorithm. …”
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Thesis -
20
An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…The second controller design strategy is based on a cost function optimization using GAS. This approach bypasses modelling of the plant and results in direct estimation of the controller characteristics. …”
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