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Dynamic pricing optimization for high-speed railway based on passenger flow assignment.
Published 2024-01-01“…In order to improve the operation efficiency and market competitiveness, how to optimize the ticket pricing strategy of high-speed railway to match the dynamic supply-demand relationship was an urgent problem to be studied. …”
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1663
Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow
Published 2025-07-01“…This enhanced performance in practical detection surpasses that of the original YOLOv5 model. The number of observed particle chains increases following optimization by integrating the improved YOLOv5 model with the grayscale subtraction technique for detecting particle motion. …”
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1664
Enhancing computational efficiency in solving Knapsack problem: insights from algorithmic parallelization and optimization
Published 2024-08-01“…Hence, the application of approximate algorithms is usually considered when encountering this optimization problem. …”
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1665
DGA malicious domain name identification based on XGBoost and particle swarm optimization algorithm
Published 2024-11-01“…Experimental results demonstrate that the XGBoost model optimized by PSO exhibits improved performance in DGA malicious domain classification. …”
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1666
Optimization of Business English Teaching Based on the Integration of Interactive Virtual Reality Genetic Algorithm
Published 2022-01-01“…The results of the simulation experiment indicate that the improved algorithm designed in this article can reduce the computational overhead of the meta-algorithm to a great extent, and the improvement strategy is designed based on the evaluation results of practical examples.…”
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1667
Quality of service optimization algorithm based on deep reinforcement learning in software defined network
Published 2023-03-01“…Deep reinforcement learning has strong abilities of decision-making and generalization and often applies to the quality of service (QoS) optimization in software defined network (SDN).However, traditional deep reinforcement learning algorithms have problems such as slow convergence and instability.An algorithm of quality of service optimization algorithm of based on deep reinforcement learning (AQSDRL) was proposed to solve the QoS problem of SDN in the data center network (DCN) applications.AQSDRL introduces the softmax deep double deterministic policy gradient (SD3) algorithm for model training, and a SumTree-based prioritized empirical replay mechanism was used to optimize the SD3 algorithm.The samples with more significant temporal-difference error (TD-error) were extracted with higher probability to train the neural network, effectively improving the convergence speed and stability of the algorithm.The experimental results show that the proposed AQSDRL effectively reduces the network transmission delay and improves the load balancing performance of the network than the existing deep reinforcement learning algorithms.…”
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1668
SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration
Published 2025-07-01“…Empirical results demonstrate the optimized SMOTE algorithm’s superiority over six comparison models, such as random over-sampling, under-sampling, etc. …”
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1669
Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region
Published 2025-01-01“…This method demonstrated improved performance in refining the crop yield prediction model by identifying and removing outliers, thereby contributing to more accurate predictions and optimized planning in the dynamic landscape of the Davangere region.…”
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1670
Fruit-Fly-Optimized Weighted Averaging Algorithm for Data Fusion in MEMS IMU Array
Published 2025-06-01“…In this study, an optimal weighted averaging algorithm based on the fruit fly optimization algorithm (FOA) is proposed by analyzing the data fusion mechanism of the MEMS IMU array. …”
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1671
Multi-objective optimization of dual-stator permanent magnet motor based on composite algorithm
Published 2025-07-01“…Then, the Taguchi method optimizes the significant variables, the genetic algorithm based on the Kriging response surface model optimizes the non-significant variables, and finally, the optimal solution is selected on the Pareto front. …”
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1672
Portfolio optimization with MOPSO-Shrinkage hybrid model
Published 2025-06-01“…Unlike traditional shrinkage covariance models, which struggle in highly dynamic environments, our hybrid model optimally selects stocks and improves risk-adjusted returns. …”
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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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Optimization of the control system of BP-PID rice polishing unit based on WAO algorithm
Published 2024-11-01“…ObjectiveAddress the current issues of poor internal flow stability, low single-machine efficiency, and subpar polishing quality in rice polishing units.MethodsFirstly, the traditional polishing machine was improved, its control parameters were clarified, and the mathematical model of the rice polishing unit was established. …”
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1675
Retracted: VR Panorama Mosaic Algorithm Based on Particle Swarm Optimization and Mutual Information
Published 2020-01-01“…This algorithm is based on particle swarm optimization, combined with the advantages of traditional mutual information algorithm, according to the characteristics of virtual reality imaging, a new model is established. …”
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Fleet management algorithm for enhancing environmental friendliness of maritime delivery
Published 2025-04-01“…The study proposes an improved algorithm for constructing maritime cargo delivery routes using a genetic algorithm with a speed optimization step. …”
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Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions
Published 2025-04-01“…Abstract Open-pit coal mining often employs loosening blasting, with perforation blasting accounting for a significant portion of the coal seam mining costs. For coal of the same quality, the price of lump coal is much higher than that of crushed coal. …”
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Trajectory Similarity Algorithm Based on DTW and Trajectory Point Compression
Published 2024-12-01Get full text
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