بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
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61
Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers
منشور في 2022"…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …"
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62
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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masterThesis -
63
Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
64
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…This is in contrast to previous approaches where GA is applied to the whole sequence. The proposed method is compared with previous GA-based approaches. …"
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article -
65
Fragment based protein structure prediction. (c2013)
منشور في 2016"…In addition, it demonstrates the advantage of using the CHARMM36 energy model. The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …"
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masterThesis -
66
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67
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…<p>Machine learning algorithms have been intensively applied to perform load forecasting to obtain better accuracies as compared to traditional statistical methods. …"
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68
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69
A hybrid distributed test generation method using deterministic and genetic algorithms
منشور في 2017"…In this work, we present a distributed method for combinational test generation. The method is based on a hybrid approach that combines both deterministic and genetic approaches. …"
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conferenceObject -
70
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
منشور في 2022"…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …"
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71
A new family of multi-step quasi-Newton algorithms for unconstrained optimization
منشور في 1999"…The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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article -
72
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73
A heuristics for HTTP traffic identification in measuring user dissimilarity
منشور في 2020"…The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. …"
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74
Optimizing Energy Consumption In Cloud Datacenters
منشور في 2024احصل على النص الكامل
doctoralThesis -
75
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…"
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76
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77
Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021"…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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78
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…Moreover, the study proposes a hybrid algorithm that combines UniBFS with two filter-based FS methods, ReliefF and Fisher, to identify pertinent features during the global search phase. …"
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79
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
منشور في 2018"…The GA method is implemented in java, and the improvement of the initial solution is exhibited by the results of the experiments based on the specified constraints and requirements.…"
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article -
80
Stability improvement of the PSS-connected power system network with ensemble machine learning tool
منشور في 2022"…The backtracking search algorithm (BSA) based proposed ensemble model is formed by combining three machine learning (ML) techniques, namely the extreme learning machine (ELM), neurogenetic (NG) system, and multi-gene genetic programming (MGGP). …"