Search Results - (evolutionary OR evolution) ((calibration techniques) OR (evaluation techniques))
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Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris
Published 2019“…The baseline energy is said calibrated and can be used for retrofit analysis. In multi objectives approach, MOEP with fixed weight SWA technique is the best alternative to solve multi-objectives problem for baseline calibration with NMBE and CV(RMSE) of 3.02% and 4.64% respectively. …”
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Thesis -
2
Metric-based code smell detection technique for python software
Published 2018“…In the second phase, details of conceptual and architectural design of the metric-based technique are presented. Thirdly, PySTect technique is implemented and evaluated in three experiments. …”
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3
Saturation and parabolic effects of Langley Calibration at different altitude levels
Published 2016“…The performance of the well-known Langley plot technique, used for the calibration of ground-based sunphotometers, has been investigated at three observatory sites of different altitudes. …”
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4
Pore pressure prediction using 2D Basin modeling technique
Published 2022“…Nevertheless, calibration still can be done as the temperature at present and during the basin evolution is one of the parameters to pressure calculation in the model. …”
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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…The problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. …”
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Driving fatigue detection system using haar cascade technique
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Computational intelligence based approach for enhanced distance relay design
Published 2024text::Final Year Project -
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Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…The median convergence traces have been compared with two different algorithms based on differential evolution, i:e: Ensemble of Constraint Handling Techniques (ECHT) and Stochastic Ranking Differential Evolution (SRDE). …”
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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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LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
Published 2021“…Then, MMRE, PRED (0.25), and MdMRE criteria have been used to evaluate and compare the proposed method against other evolutionary algorithms. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Differential evolution (DE) is a simple yet powerful evolutionary algorithm (EA). …”
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12
Vision Based Calibration and Localization Technique for Video Sensor Networks
Published 2009“…The recent evolutions in embedded systems have now made the video sensor networks a reality. …”
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Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
Published 2011“…Thus, this paper presents the enhancement of loss minimization in power system through optimal RPP using an optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP) technique. …”
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Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique: article / Aziz Mat Ramly
Published 2011“…Thus, this paper presents the enhancement of loss minimization in power system through optimal RPP using an optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP) technique. …”
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Hybrid evolutionary barnacles mating optimization: a novel technique for economic load dispatch optimization / Nor Laili Ismail ... [et al.]
Published 2022“…Several case studies have been selected to evaluate the efficiency of HEBMO and compare it with the existing single optimization technique, Evolutionary Programming (EP), and Barnacles Mating Optimizer (BMO). …”
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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector
Published 2025“…The results of the evaluation demonstrated varying performances among the three evolutionary algorithms. …”
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SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid
Published 2017“…The study found that five SWAT input parameters were required to show the most stable and sensitive outcome using both local and global sensitivities analysis techniques, inclusive of CN2.mgt, GW Delay.gw, SLOPE.hru, SOL_AWC.sol and SOL_K.sol. …”
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19
A review on monocular tracking and mapping: from model-based to data-driven methods
Published 2022“…Astounding results from early methods based on filtering have intrigued the community to extend these algorithms using other forms of techniques like bundle adjustment and deep learning. …”
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Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…However, the performance of such methods is based on the algorithms or technique. In this paper, we develop an intelligent technique using multiobjective evolutionary method hybrid with a local search approach to enhance the backpropagation neural network. …”
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