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681
A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection
Published 2025-01-01Get full text
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682
Task Offloading and Data Compression Collaboration Optimization for UAV Swarm-Enabled Mobile Edge Computing
Published 2025-04-01“…To minimize the total energy and time cost of the system, we utilize Markov Decision Process (MDP) for modeling and construct a deep deterministic policy gradient offloading algorithm with a prioritized experience replay mechanism (PER-DDPG) to jointly optimize compression ratio, task offloading rate, resource allocation and swarm positioning. …”
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683
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684
Control and Stability Analysis of Double Time-Delay Active Suspension Based on Particle Swarm Optimization
Published 2020-01-01Get full text
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685
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686
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687
Silicon Mode (de)Multiplexer Based on Cascaded Particle-Swarm-Optimized Counter-Tapered Couplers
Published 2021-01-01Get full text
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688
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689
A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system
Published 2025-02-01Get full text
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690
A memetic algorithm for high‐strength covering array generation
Published 2023-08-01Get full text
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691
Coordination in strictly metric-free swarms: evidence for the existence of biological diversity
Published 2025-03-01Get full text
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692
Fault localization for automatic train operation based on the adaptive error locating array algorithm
Published 2025-01-01“…These cases are designed to locate the MFS more easily in the given parameter range using the Adaptive Particle Swarm Optimization (APSO) algorithm. Finally, the MFS is determined. …”
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693
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Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework
Published 2025-01-01Get full text
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695
A New Speed Measurement System and Its Algorithm for Medium and Low Speed Maglev Train
Published 2020-01-01Get full text
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696
Big data-based optimized model of building design in the context of rural revitalization
Published 2025-06-01Get full text
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697
Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model
Published 2025-04-01“…Finally, the improved particle swarm optimization algorithm is used to adjust the hyperparameters of the extreme gradient boosting tree algorithm, and selecting the optimal hyperparameter combination to construct the MFS-DLPSO-XGBoost model. …”
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