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Nested ensemble selection: An effective hybrid feature selection method
Published 2023“…Numerical experiments on synthetic and real-life data demonstrate the effectiveness of the proposed method. The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…The trials conducted using FS datasets yield a quantitative consideration of the I-GKSO's capacity to attain the most optimal subset of features. Furthermore, Wilcoxon and Friedman's non-parametric tests were accomplished to support the performance of the proposed method.…”
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Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function
Published 2024“…The <i>fmincon</i> optimization results agree well with the literature that used different optimization methods. …”
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through...
Published 2021“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
Published 2020“…The soiling can lead to significant losses in elec tricity production, especially in a place like Dubai, UAE. …”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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Race/ethnicity and challenges for optimal insulin therapy
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Integrating data collection optimization into pavement management systems
Published 2017“…This paper describes a method for using location data to optimize the routing of pavement data collection vehicles. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. Additionally, our proposed model optimizes the features using a genetic algorithm. …”
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Optimizing patellar positioning during total knee arthroplasty
Published 2017“…Medialization of the prosthetic patella has been recommended; however, no evidence-based guidelines have been reported. Material and method This anatomical study aims to quantify a pre-defined optimal location for positioning of the patellar component with regard to the centre of the patellar cut. …”
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Optimization of p-chart for Processes with Multiple Assignable Causes and Random Shift
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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
Published 2020“…An extensive experimentation is carried out to optimize twelve benchmark functions using the proposed Multi-Cluster Jumping PSO and a significant difference is observed in the convergence speed of the proposed method over the existing state-of-the-art approaches.…”
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A review on recent developments in control and optimization of micro grids
Published 2022“…As the grid is moving towards optimal design of microgrid structures this manuscript reviews a number of optimization techniques along with their benefits and drawbacks.…”
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A practical routing model for optimized pavement data collection
Published 2017“…The routing of these vehicles, however, is often managed in an ad hoc manner with significant expense. This paper introduces a practical optimization method for designing the routes of pavement data collection equipment. …”
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A hybrid Harris Hawks optimizer for economic load dispatch problems
Published 2022“…Due to the complexity of ELD search space, as it is rigid and deep, the exploitation of HHO is improved by hybridizing it with a recent local search method called adaptive-hill climbing. The HHO can navigate several potential search space regions, while adaptive-hill climbing is used to deeply search for the local optimal solution in each potential region. …”
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36
An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. …”
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. …”
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A Framework for Project Time-Cost Optimization Considering Float Consumption Impact
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Published 2024“…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …”