Search Results - (( java implication drops algorithm ) OR ( self optimization means algorithm ))
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Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization
Published 2018“…The advanced mean value and hybrid mean value methods are commonly used to evaluate the probabilistic constraint of reliability-based design optimization (RBDO) problems. …”
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QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs)
Published 2008“…The main focus in IANRA is to find optimum and near optimum route by means of Genetic Algorithm (GA) using breeding capability of ants. …”
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Self-Adaptive Autoreclosing Scheme usingI Artificial Neural Network and Taguchi's Methodology in Extra High Voltage Transmission Systems
Published 2009“…In addition, Taguchi's methodology is employed in optimizing the parameters of each algorithm used for training, and in deciding the number of hidden neurons of the neural network. …”
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Earth observation micro-satellite design optimization using satellite simulator / Robertus Heru Triharjanto … [et al.]
Published 2016“…It is also find that due to full acces level, the self-made simulator as used in the research has good potential to be used in the optimization case with search algorithm.…”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…The first scheme is a SensorAnt, which is a self-optimization mechanism for WSN. It is able to utilize and optimize the sensor nodes’ resources, especially the batteries, to achieve balanced energy consumption across all sensor nodes. …”
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7
Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…For real-time applications, simulation results show that RFuzSAHO decision algorithm enhances the VoIP quality (Mean Opinion Score, MOS) up to 5.4% compared to FuzSAHO algorithm when the MS velocity is 20m/s.…”
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8
Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…It is applied in optimization problems like CS. While RX displays self-adaptive behavior and possesses exploration capabilities, STPM thrive in its exploitation features. …”
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9
LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…We develop an active-set based block coordinate descent algorithm (BCD) to optimize exactly the group LASSO. …”
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Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model
Published 2017“…Numerical simulations of the regular tensegrity and SBS models have proven the superior convergent characteristic of the proposed algorithm for shape change analysis. The results reveal that the proposed approach for shape change analysis has a very strong ability for a self-equilibrated model to search their desired target coordinates in multi-directional modes through optimization of the forced elongation in cables. …”
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11
A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…The main idea in this algorithm is the indirect communication between the ants which is established by the means of pheromones in finding the shortest path between their nest and food [14]. …”
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Monograph -
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An artificial intelligent approach for the optimization of organic rankine cycle power generation systems
Published 2023“…Experiment results show that the SAPS outperformed several other well-established optimization algorithm in tracking the moving MPP, especially in term of the solution accuracies. …”
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model
Published 2023“…The Transformer model with transferred weights outperformed models trained from scratch using supervised learning. To select the optimal hyperparameters for the Transformer model, the Tree Parzen Estimator(TPE) optimization in combination with the Hyperband pruning algorithm is employed to search for the best combination that yields the lowest Root Mean Squared Error(RMSE)and Mean Absolute Error (MAE) error metrics. …”
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Big Data in Motion: A Vehicle-Assisted Urban Computing Framework for Smart Cities
Published 2019“…The framework promotes self-belonging, social awareness, and energy conservation through urban computing encouraging participation by citizens. …”
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The new enhancement of OLSR energy-saving system in ADHOC network / Suhazlan Suhaimi
Published 2018“…In Mobile Ad Hoc Networks (MANETs), network nodes typically have short lifespans given that they are mobile, self-reconfigurable, and dependent on the battery power. …”
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16
Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process
Published 2008“…In fuzzy logic, among the issues are tedious process of rules identification and inability to self-adapt to changing machining conditions. On the other hand, neural network has the issues of black box problem and difficulty in optimal topology determination. …”
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SNR-Based OLSR Routing Protocol for Wireless Mesh Networks
Published 2009“…The major advantages of WMNs over the other wireless networks are the low-cost, self organization, self configuration, last mile internet solution, scalability, and reliability. …”
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