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2321
UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony
Published 2025-01-01“…In the onlooker bee phase, the curvature-guided elite neighbor search strategy is used to prioritizes high-curvature waypoints, enhancing optimization efficiency in complex terrain. Furthermore, path costs are independently modeled in the horizontal and vertical directions. …”
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2322
A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing
Published 2025-06-01“…A composite data acquisition method using both a camera and probe is designed, and a stepwise global optimization model is constructed by integrating a synchronous iterative localization algorithm with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). …”
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2323
Optimized CNN-LSTM with hybrid metaheuristic approaches for solar radiation forecasting
Published 2025-08-01“…To improve the accuracy of the model, hyperparameter optimization is applied to the CNN-LSTM model using three metaheuristic algorithms: Particle Swarm Optimization, Grey Wolf Optimization, and Starfish Optimization Algorithm. …”
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2324
A Hybrid Deep Learning-ViT Model and A Meta-Heuristic Feature Selection Algorithm for Efficient Remote Sensing Image Classification
Published 2025-05-01“…In this study, we introduced XNANet, a self-attention-based CNN network for image classification. Bayesian optimization has been used to initialize the hyperparameters of the proposed model to improve training on the radiographic images. …”
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2325
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2326
Research on Multi-Objective Coordinated Planning of Distribution Networks Based on Improved Generative Adversarial Networks
Published 2025-01-01“…This paper addresses the significant challenges that the uncertainty of renewable energy (RE) outputs, such as wind and solar power, bring to distribution network planning and operation by proposing a multi-objective bi-level distribution network planning model based on an improved generative adversarial network and carbon footprint analysis. …”
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2327
Research on bearing fault diagnosis based on ISA-VMD and IMSE
Published 2025-04-01“…This method leverages an improved sparrow search algorithm (ISSA) to optimize the variational mode decomposition (VMD) method and employs an improved multiscale sample entropy (IMSE) for fault feature extraction. …”
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2328
Research on Performance Predictive Model and Parameter Optimization of Pneumatic Drum Seed Metering Device Based on Backpropagation Neural Network
Published 2025-03-01“…The MOPSO algorithm uses the BPNN predictive model as a fitness function to search for the optimal solution for three types of seeds, and the optimized results were verified through bench experiments. …”
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2329
Transformer Fault Diagnosis Utilizing Feature Extraction and Ensemble Learning Model
Published 2024-09-01“…The final step involves optimizing the Light Gradient Boosting Machine (LightGBM) model using IAOS algorithm for transformer fault classification; this model is an ensemble learning model. …”
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2330
Design of an efficient multi-objective recognition approach for 8-ball billiards vision system
Published 2018-01-01“…In order to accurately locate and isolate the single ball in a local region, the improved Hough Transform (HT) algorithm and the Least Squares (LS) method are adopted in combination. …”
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2331
Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment
Published 2025-04-01“…The detection and classification of DoW attacks, the multi-head attention-based bi-directional gated recurrent unit (MHA-BiGRU) model is utilized. Eventually, the improved secretary bird optimizer algorithm (ISBOA)-based hyperparameter choice process is accomplished to optimize the detection results of the MHA-BiGRU model. …”
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2332
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2333
Influencing factors of cross screening rate and its intelligent prediction model
Published 2025-07-01“…Combined with particle swarm optimization (PSO), the hyper-parameter combination optimization of support vector machine, decision tree and random forest models is carried out to obtain the optimal parameter combination of the model and improve the prediction performance and generalization ability of the model. …”
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2334
Machine-learning based optimizing the neutronic and thermal-hydraulic performance in a VVER-1000 mixed-core as well as fuel burnup assessment
Published 2025-06-01“…By integrating this neural network with a genetic algorithm, optimization was carried out to identify the optimal fuel placement and enrichment for loading the UTVS fuel assembly into the targeted reactor core. …”
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2335
Numerical Study on Energy-saving Optimal Control of Rotary Desiccant Wheel System
Published 2023-01-01“…A weight factor was introduced to combine the energy consumption and dehumidification performance of the system as the optimization objective. An energy-saving optimization control model of the desiccant wheel system was proposed with an improved PSO as the solution algorithm. …”
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2336
Node optimization coverage method under link model in passive monitoring system of three-dimensional wireless sensor network
Published 2019-08-01“…In the process of optimal coverage, the traditional genetic algorithm and particle swarm optimization algorithm are introduced and improved. …”
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2337
A Classification-Based Blood–Brain Barrier Model: A Comparative Approach
Published 2025-05-01“…<b>Methods</b>: In this study, we compare the effectiveness of sequential feature selection (SFS) and genetic algorithms (GAs) in optimizing descriptor selection for BBB permeability prediction. …”
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2338
AI-Based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities With Spherical Fuzzy Decision Algorithm
Published 2025-01-01“…These models classify buildings based on energy consumption patterns, predicting energy needs and identifying areas for improvement. …”
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2339
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Model-Data Hybrid-Driven Real-Time Optimal Power Flow: A Physics-Informed Reinforcement Learning Approach
Published 2025-07-01“…Specifically, the proposed methodology uses the proximal policy optimization (PPO) algorithm as the agent’s foundational framework and constructs a PI-actor network embedded with prior model knowledge derived from power flow sensitivity into the agent’s actor network via the PINN method, which achieves dual optimization objectives: (a) enhanced environmental perceptibility to improve experience utilization efficiency via gradient-awareness from model knowledge during actor network updates, and (b) improved user trustworthiness through mathematically constrained action gradient information derived from explicit model knowledge, ensuring actor updates adhere to safety boundaries. …”
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