Search Results - (( evolution evaluation techniques ) OR ( evolution estimation technique ))
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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…The performance of the algorithm is evaluated using both simulated ARMA models and practical rotary motion system. …”
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Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”
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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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Lattice Imperfections in Intermetallic Ti-Al alloys: an X-Ray Diffraction study of the microstructure by the Rietveld method
Published 2008“…The analysis also considers the quantitative estimation of different phases and lattice defect related features of the evoluted microstructures, namely crystallite sizes and microstrains in the bulk homogenized state. …”
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Effect of zinc and molybdenum on the microstructure and corrosion behavior of magnesium-based alloys produced by powder metallurgy technique
Published 2022“…The corrosion behavior was evaluated by the hydrogen evolution test and potentiodynamic polarization test in 3.5 wt.% sodium chloride (NaCl) solution. …”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…Moreover, the balance between the exploration and exploitation processes in the DPSO framework is considered using a combination of (i) a kernel density estimation technique associated with new bandwidth estimation method and (ii) estimated multi-dimensional gravitational learning coefficients. …”
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Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model
Published 2007“…The model uses a flexible model fitting procedure which involves matching approximately a chosen set of historical statistics which exceeds in number of set of parameters to be estimated. An optimization technique called Shuffle Complex Evolution (SCE-UA) was used to estimate the parameters. …”
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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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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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Handover Decision-Making Algorithm for 5G Heterogeneous Networks
Published 2023“…The proposed algorithm reduces the number of unnecessary handovers by estimating the connection time to a small cell network using the dwell time prediction technique. …”
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The micro-structural characterization of thermosonic cu-al intermetallic compounds and modelling of its interface stress
Published 2015“…Objectives of this research are (1) to analyse the correlation of wire bonding parameters, the interfacial micro-structure change and mechanical strength of the synthesized Cu-Al bonding interface, (2) to propose a theoretical model that describe quantitatively the stress due to volumetric changes originated from Cu-Al phase evolution, (3) to evaluate the stress generated by Cu-Al phase evolution at the bonding interface and its correlation to the void formation. …”
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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“…According to the simulation results, the proposed EMA-DL algorithm was found to outperform all the other compared algorithms based on the evaluated metrics. 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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Construction and evaluation of panel count model for road accident data / Wan Fairos Wan Yaacob
Published 2015“…This study also provides a framework for Monte-Carlo simulation methodology in evaluating the alternative fixed effects panel model estimator. …”
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Online Dynamic Optimization Studies Of Catalyzed Esterfication Of Propionic Anhydride With 2-Butanol In The Presence Of Disturbance And Uncertainty
Published 2015“…Five dynamic optimization techniques namely control vector parameterization (CVP), orthogonal collocation (OC), multiple shooting (MS), differential evolution (DE) and hybrid strategy (HS) have been implemented to optimize three different objective functions, i.e. maximize conversion, minimize final time and maximize operation profit. …”
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Analysis of a high pressure diesel spray at high pressure and temperature environment conditions
Published 2013“…The fuel has been sprayed at 60, 90 and 120 MPa, with an ambient pressure ranging between 1.2 to 5.0 MPa. The spray evolution has been investigated, by the Mie scattering technique, illuminating the fuel jet and acquiring single shot images by a CCD camera. …”
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Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich
Published 2019“…The main objective of this work is to propose and implement an efficient handover decision procedure based on users’ profiles using Q-learning technique in a LTE-A macrocell-femtocell networks. …”
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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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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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