Search Results - (( evolution estimation techniques ) OR ( simulation optimization techniques ))
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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
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Proceeding Paper -
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Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applica...
Published 2021“…Originality/value: Attempted to develop a system with different optimization techniques. © 2020, Emerald Publishing Limited.…”
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Optimizing railway safety by analyzing human reliability techniques - A review
Published 2025“…This review provides a comprehensive analysis of the evolution of HRA, from the first-generation techniques to the third-generation approaches currently in use. …”
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Conference or Workshop Item -
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Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle
Published 2023“…Thus, it can be employed as a proficient technique to accurately estimate the state of charge (SOC) of electric vehicle batteries.…”
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Article -
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Reliability assessment of power generation systems using intelligent search based on disparity theory
Published 2017“…In this paper, a novel optimization technique named the disparity evolution genetic algorithm (DEGA) is proposed for reliability assessment of power generation. …”
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Reliability Assessment of Power Generation Systems Using Intelligent Search Based on Disparity Theory
Published 2017“…In this paper, a novel optimization technique named the disparity evolution genetic algorithm (DEGA) is proposed for reliability assessment of power generation. …”
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
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Thesis -
8
A numerical failure analysis of laser micromachining in various thermoplastics
Published 2021“…Laser micromachining is one of the promising techniques for mass production of precision miniature parts and microcomponents. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The simulation results show the effectiveness of the ARDE method over other conventional techniques, transcending the limits of the existing state-of-the-art algorithms in estimating the parameters of robot. …”
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Thesis -
10
Mixed Unscented Kalman Filter and differential evolution for parameter identification
Published 2013“…This paper presents parameters estimation techniques for coupled industrial tanks using the mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) method. …”
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Intelligent Optimization Techniques for Optimal Power Flow using Interline Power Flow Controller
Published 2010“…The simulation results validate the efficacy of the three optimization techniques and PSO technique is proved to be more efficient compared to the other two techniques.…”
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Conference or Workshop Item -
13
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…Analysis indicates that the performances of the implemented variant of simulated annealing are comparable to those of other optimization techniques developed in this thesis. …”
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Thesis -
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…These models are developed by integrating multilayer perceptron neural network and evolutionary optimization techniques. Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
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Article -
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Simulation and design of A DC-DC synchronous converter by intelligent optimization techniques
Published 2010“…The derived optimal parameters of the converter from Genetic Algorithm method are compared with those obtained using the other two intelligent techniques.…”
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Conference or Workshop Item -
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Channel quality indicator for long term evolution system based on adaptive threshold feedback compression scheme
Published 2014“…Hence, CQI calculations highly depend on the accuracy of the channel estimation process. A precious channel estimation scheme is necessary to indicate the instantaneous channel condition. …”
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Production improvement through the use quest simulation technique of layout optimization specific on labour optimization / Mohamad Sukri Mohamed Shamsudin
Published 2010“…This paper presents a layout study that used simulation technique to improve plant layout of the factory floor Propoly (M) Sdn. …”
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Thesis -
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An adaptive threshold feedback compression scheme based on channel quality indicator (CQI) in long term evolution (LTE) system
Published 2015“…Channel quality indicator (CQI) feedback in long-term evolution (LTE) system is an essential technique in describing the instantaneous channel state information. …”
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Article -
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A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques
Published 2011“…This paper presents a comparative study by three intelligent optimization techniques to accurately determine the optimal control parameters of a 1 MHz LLC resonant dc-dc converter aimed at minimizing the losses. …”
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OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…Abstract This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a DC–DC converter with synchronous rectification normally used in battery charge/discharge circuits in DC uninterruptible power supply systems. …”
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