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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm
Published 2025-09-01“…The inherent characteristics of unbalanced three-phase distribution networks can have negative technical and financial effects. In this vein, optimal conductor size selection and phase balancing are among the most common strategies for improving these indicators, which involves dealing with complex optimization problems. …”
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42
Application of the metaheuristic algorithms to quantify the GSI based on the RMR classification
Published 2025-08-01“…This study addresses this challenge by analyzing data from fourteen different rock types and employing three metaheuristic optimization algorithms, namely Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Grey Wolf Optimization (GWO), to develop predictive models for quantifying GSI based on the RMR. …”
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43
Optimal design of 10‐bit single‐slope ADC for CMOS image sensor based on swarm intelligent optimization algorithm
Published 2021-11-01“…Here, an optimal design methodology based on an improved artificial fish swarm optimization algorithm (IAFSOA) is proposed for a 10‐bit SS ADC in CIS. …”
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44
Improved Crosstalk Reduction on Multiview 3D Display by Using BILS Algorithm
Published 2014-01-01“…Furthermore, an improved crosstalk reduction method is proposed to alleviate crosstalk by searching for the optimal integral intensity values of subpixels on the synthetic image. …”
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45
Image information optimization processing based on fractional order differentiation and WT algorithm.
Published 2025-01-01“…To improve the quality of complex images, research proposes an image information optimization processing method based on fractional order differentiation and WT algorithm. …”
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46
A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm
Published 2025-06-01“…Purpose: The purpose of this study is to develop an optimization model for knowledge management outsourcing using a genetic algorithm. …”
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47
Optimization of Communication Quality for Energy-Limited Inspection AAV: A Hybrid Algorithm
Published 2024-01-01“…Numerical results show that the proposed algorithm is effective in optimizing the communication quality of the inspection AAV with limited energy, and its performance is improved by about 15%-50% compared with other benchmarks.…”
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48
Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm
Published 2025-04-01“…The aquila optimization algorithm is one of the most recent and efficient algorithms. …”
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49
Healthcare Prediction Using Novel Machine Learning Methods and Metaheuristic Algorithm
Published 2025-06-01“…Four models ETSA, ETCH, SVSA, and SVCH were developed in this study by integrating the ETC and SVC models with two optimization algorithms the CHS and SAO. Upon analyzing the performance of these models, it was found that the ETSA model had a high precision of 0.806 in normal conditions.…”
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50
An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem
Published 2012-01-01“…An improved particle swarm optimization (PSO) algorithm is proposed for solving bilevel multiobjective programming problem (BLMPP). …”
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51
IGWO-MSVR model for predicting stress in coal seam during drilling process
Published 2025-09-01Get full text
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52
Predicting the Recurrence of Differentiated Thyroid Cancer Using Whale Optimization-Based XGBoost Algorithm
Published 2025-07-01“…The key objective is to improve the prediction accuracy through hyperparameter optimization. …”
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53
A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization
Published 2021-01-01“…In this article, a penalty function based on graph density (GD) was introduced to the particle swarm optimization algorithm (PSO), and a GD-PSO algorithm was proposed. …”
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54
An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm
Published 2025-03-01“…It achieves a minimum root mean square error of 0.001803 and a mean root mean square error of 0.001874 with a standard deviation equal to 3.013% over 1000 simulations. These results improve over those obtained by the Ant Lion Optimizer, which reported a minimum root mean square error of 0.001804 and a root mean square error of 0.001896 on average with a standard deviation of 3.788%.Additionally, the study highlights the efficiency of the Multiverse Optimization Algorithm in processing time, with an average execution time of 223.65 seconds. …”
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55
Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm
Published 2025-06-01“…Among the software estimation methods, analogy-based estimation (ABE) is one of the most popular ones. Although this method has been customized in recent years with the help of optimization algorithms to achieve better results, the use of more powerful optimization algorithms can be effective in achieving better results in software size estimation. …”
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56
An Enhanced Genetic Algorithm for Optimized Educational Assessment Test Generation Through Population Variation
Published 2025-04-01“…The most important aspect of a genetic algorithm (GA) lies in the optimal solution found. …”
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57
Urban flood hazard assessment using FLA-optimized boost algorithms in Ankara, Türkiye
Published 2025-03-01“…By applying advanced boosting algorithms—specifically, XGBoost, GradientBoost, and CatBoost—along with hyperparameter optimization through the Fick’s law algorithm (FLA), this research introduces an innovative methodology aimed at improving the reliability and accuracy of flood hazard assessments in Ankara’s urban landscape. …”
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58
A FPGA Accelerator of Distributed A3C Algorithm with Optimal Resource Deployment
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59
Optimization Design Method of Pipe-Insulating Joints Based on Surrogate Model and Genetic Algorithm
Published 2025-07-01“…This improves the computational efficiency of the optimization algorithm by establishing a surrogate model, which can be used to optimize the dimensions of insulation joints.…”
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60
An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization
Published 2018-01-01“…In this paper, we propose an improved MOEA/D (multiobjective evolutionary algorithm based on decomposition) based on reference distance (MOEA/D_RD) to solve the software project portfolio optimization problems with optimizing 2, 3, and 4 objectives. …”
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