Search Results - (( data effective usage algorithm ) OR ( using optimization method algorithm ))
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1
Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
Published 2011“…The genetic algorithms is proven to be a very effective method in optimization by using the way imitating natural process of living beings such as crossover, mutation and selection. …”
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2
Hybrid Henry Gas-Harris Hawks comprehensive-opposition algorithm for task scheduling in cloud computing
Published 2025“…Therefore, the simulated makespan and resource usage of the proposed HGHHC algorithm were better than those of previous approaches. …”
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3
Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm
Published 2013“…Among these methods, Genetic Algorithm and Particle Swarm Optimization are known as two most effective methods for HRESs. …”
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4
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
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5
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…he genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
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6
Ant colony algorithm for text classification in multicore-multithread environment / Ahmad Nazmi Fadzal
Published 2017“…Unclassified data can lead to slower data retrieval thus a reliable method is required to effectively retrieve data efficiently and in systematic manner. …”
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7
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
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8
Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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9
Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Data collected were used for the multilevel analysis, Markov Chain Monte Carlo (MCMC) simulation via WinBUGS algorithm and influence diagrams for BBNs. …”
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Friend recommendation based on the Luscher color theory: Twitter use case
Published 2013“…The current paper introduces a novel method of recommending celebrities in a social network based on genetic algorithm and the concept of color psychology. …”
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12
Groundwater quality assessment and optimization of monitored wells using multivariate geostatistical techniques in Amol-Babol Plain, Iran
Published 2015“…A new optimization approach was proposed for redesign monitoring network wells using optimization algorithm based on the vulnerability of aquifer to contaminations, estimation error of sampling wells, nearest distance between wells, and source of contamination in the study area. …”
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13
Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building
Published 2024“…Traditional predictive methods often struggle to capture the complex, nonlinear relationships inherent in energy consumption data. …”
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14
Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building
Published 2024“…Traditional predictive methods often struggle to capture the complex, nonlinear relationships inherent in energy consumption data. …”
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15
Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid
Published 2012“…The effect of faults and the effectiveness of the fault tolerant algorithm is demonstrated by observing the speed response of the induction machine, which is the strategy adopted by the majority of researchers in this area. …”
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16
State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model
Published 2023“…In the first stage, the model is pre-trained using unlabeled data with unsupervised learning. …”
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Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
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Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…Later, an Iterative-based Sizing Algorithm (ISA) was developed to determine the optimal sizing solution which was later used as benchmark for sizing algorithms using optimization methods. …”
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19
An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…Moreover, Butterfly Optimization Algorithm and Harmony Search Algorithm were combined as optimization method led to a new method named BOAHS. …”
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20
Wind farm reactive power optimization by using imperialist competitive algorithm
Published 2013“…In this paper a new evolutionary computing method based on imperialist competitive algorithm (ICA) is used for optimization of the reactive power in a wind farm. …”
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