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721
A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electrici...
Published 2024-09-01“…Then, the Monte Carlo method was employed to simulate electric vehicle loads and to facilitate the generation of and reduction in scenario scenes. Finally, the model was solved using an improved multi-objective barebones particle swarm optimization algorithm. …”
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722
A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms
Published 2025-01-01“…Similarly, Random Forest models showed a slight improvement, reaching 81% with feature selection versus 80% without. …”
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723
GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer
Published 2025-01-01“…In our study, we propose a graph representation learning model with improved Transformer (GRL-ITransformer) to better integrate feature information, so that the model can capture the dynamic time relationship of different variables and establish its spatial relationship, striving to enhance the precision in predicting wind turbine wake field. …”
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724
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725
Research on improving the ranging accuracy of ships with stereo vision through Kalman filter optimization.
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726
Comparative analysis of FACT devices for optimal improvement of power quality in unbalanced distribution systems
Published 2025-01-01“…To improve network asymmetry, an optimization analysis is carried out to ascertain how each proposed device will work. …”
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727
Angular Random Walk Improvement of Resonator Fiber Optic Gyro by Optimizing Modulation Frequency
Published 2019-01-01“…Based on the ARW model, an improvement method of ARW is proposed by adjusting the modulation frequency. …”
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729
Improving Earth surface temperature forecasting through the optimization of deep learning hyper-parameters using Barnacles Mating Optimizer
Published 2024-09-01“…To improve the DL model's performance, an optimization algorithm called Barnacles Mating Optimizer (BMO) is integrated to optimize both weights and biases. …”
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730
Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method
Published 2024-11-01“…Compared to the optimal SGBoost model with the Lasso variable selection method (R<sup>2</sup> of 0.69, RMSE of 18.63 Mg/ha), the VIF-Lasso method improves R<sup>2</sup> by 0.06 and reduces RMSE by 2.15 Mg/ha, while the Lasso-GA method improves R<sup>2</sup> by 0.04 and reduces RMSE by 1.93 Mg/ha. …”
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731
On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior
Published 2020-01-01“…The hybrid model’s preciseness is verified against the radial displacements of a pendulum in a concrete arch dam and simulations of four models: statistical model, BP-ANN optimized by genetic algorithm (GA), particle swarm optimization (PSO), and AFSA. …”
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732
A design method of composite pixel-like antenna based on improved bald eagle search algorithm
Published 2025-07-01“…This method not only retains the good convergence of the original algorithm, but also partially improves the global search ability. …”
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733
Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic
Published 2025-04-01“…A multi-objective mathematical model is first developed to establish key optimization goals, including cost reduction, improved capital utilization, and increased economic benefits. …”
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734
5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network
Published 2025-03-01“…With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. To take advantage of the features of the 5G network, this paper proposes 5G-PBFT, which is an improved practical Byzantine fault-tolerant consensus algorithm with three ways to improve PBFT. …”
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735
An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis
Published 2024-01-01“…Additionally, a hybrid grey wolf optimization and slime mould algorithm (GWO-SMA) is proposed to optimize the hidden layer bias of the improved ELM classifier. …”
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736
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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737
Design of Instrumentation and Control Components of Power Distribution Systems
Published 2024-03-01“…In recent years, the development of high-voltage power systems has received a boost due to the need for infrastructural support for priority development areas. Universal models and algorithms are required to implement processes in power components and identify their optimal parameters. …”
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738
Discrete Optimization Model and Algorithm for Driver Planning in Periodic Driver Routing Problem
Published 2019-01-01Get full text
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739
An optimization model of computer network security based on GABP neural network algorithm
Published 2025-04-01Get full text
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740
Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11
Published 2024-11-01“…To address these challenges and enhance the detection of floating extruded feed particles on the water surface, ,thereby providing precise decision support for intelligent feeding in intensive aquaculture modes, the YOLOv11-AP2S model, an advanced detection model was proposed.[Methods]The YOLOv11-AP2S model enhanced the YOLOv11 algorithm by incorporating a series of improvements to its backbone network, neck, and head components. …”
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