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1001
Optimal Scheduling Method for Power Generation of Cascade Reservoirs Based on RLDE Algorithm
Published 2025-06-01“…To validate the feasibility and effectiveness of the RLDE algorithm, it was applied to optimize the power generation scheduling model for four major cascade reservoirs (Wudongde, Baihetan, Xiluodu, and Xiangjiaba) on the lower Jinsha River. …”
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1002
Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR
Published 2025-01-01Get full text
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1003
Optimizing piezoelectric actuator placement for enhanced vibration control using genetic algorithms
Published 2025-07-01“…This study proposes an optimization framework for piezoelectric sensor and actuator configurations in cantilever beams using a genetic algorithm. …”
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1004
Robust Photovoltaic Power Forecasting Model Under Complex Meteorological Conditions
Published 2025-05-01“…To effectively mitigate these limitations, this work proposes a dual-stage feature extraction method based on Variational Mode Decomposition (VMD) and Principal Component Analysis (PCA), enhancing multi-scale modeling and noise reduction capabilities. Additionally, the Whale Optimization Algorithm is adopted to efficiently optimize the hyperparameters of iTransformer for the framework, improving parameter adaptability and convergence efficiency. …”
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1005
Multiobjective Optimization Method for Polymer Injection Molding Based on a Genetic Algorithm
Published 2019-01-01“…The optimal combination of the impact parameters is determined using a multiobjective genetic algorithm. …”
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1006
Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm
Published 2025-06-01“…After reinforcement learning training, the trajectory offset is significantly reduced, and the accuracy is greatly improved. This research shows that the TD3 algorithm is superior to the multi-objective optimization algorithm in optimizing key parameters, such as well deviation, kickoff point (KOP), and trajectory length, especially in well deviation and KOP optimization. …”
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1007
Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis
Published 2024-10-01“…To address these challenges, a variety of classical, evolutionary, and improved optimization techniques have been developed. …”
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1008
An improved Red-billed blue magpie feature selection algorithm for medical data processing.
Published 2025-01-01“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”
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1009
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1010
Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance
Published 2024-12-01Get full text
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1011
An Improved Whale Algorithm for Setting Standard Scheduled Block Time Based on the Airline Fairness
Published 2020-01-01“…We use whale optimization algorithm (WOA) and an improved version of the whale optimization algorithm (IWOA) to solve the SBT setting problem. …”
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1012
Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation
Published 2025-07-01“…However, the accuracy of our algorithm significantly improved when individual trust coding templates were applied. …”
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1013
Nonlinear Friction and Dynamical Identification for a Robot Manipulator with Improved Cuckoo Search Algorithm
Published 2018-01-01“…This paper concerns the problem of dynamical identification for an industrial robot manipulator and presents an identification procedure based on an improved cuckoo search algorithm. Firstly, a dynamical model of a 6-DOF industrial serial robot has been derived. …”
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1014
Research on trajectory planning method of anchor drilling robot manipulator
Published 2024-10-01“…In order to enhance the efficiency of tunnel support in coal mines, a study focused on the six-degree-of-freedom drill anchor robot manipulator arm and proposed an optimal trajectory planning method based on an improved grey wolf optimization algorithm. …”
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1015
Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation
Published 2024-11-01“…In addition, the Fireworks Algorithm (FWA) is presented as an optimization method, demonstrating its potential in improving the model’s predictive abilities by effectively exploring and exploiting the search space. …”
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1016
A novel method for distracted driving behaviors recognition with hybrid CNN-BiLSTM-AM model
Published 2025-06-01“…A fully connected neural network layer is applied to establish a nonlinear mapping relationship between the extracted features and driving behavior categories. Bayesian optimization algorithm is adopted to automatically optimize hyperparameters of the network so as to improve training efficiency and performance of the proposed model. …”
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1017
Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
Published 2025-04-01“…This study investigated the rainfall redistribution characteristics of three typical subtropical semi-humid evergreen broad-leaved forests in the Dianchi Basin of China. The model structure was improved by incorporating both canopy density and leaf area index (LAI) as indicators, and optimized the parameters using the Gauss-Newton algorithm, with appropriate threshold settings for absorption and additional interception. …”
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1018
Improving EEG based brain computer interface emotion detection with EKO ALSTM model
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1019
Optimization for Express/Local Train Stop Plans on City Rapid Rail Transit Lines
Published 2025-07-01“…A comparative analysis is conducted on enterprise operational costs and passenger travel costs before and after the stop plan optimization. [Result & Conclusion] The stop plan verifies the effectiveness of the proposed model and algorithm. …”
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1020
Hybrid Swarm Intelligence and Human-Inspired Optimization for Urban Drone Path Planning
Published 2025-03-01“…Specifically, competitive and supportive behaviors are mathematically modeled to enhance particle learning strategies and improve global search capabilities in the mid-optimization phase. …”
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