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1701
Optimizing multimodal timetable synchronization of intercity railway and metro for the first service period during holidays
Published 2025-03-01“…To efficiently accommodate the high demand for intercity travel, it becomes imperative for metro agencies to optimize holiday timetables. This paper focuses on designing holiday timetables of the first service period for the metro network that connects to an IR station, aiming to enhance multimodal collaboration with IR timetables while ensuring seamless coordination among various metro lines at the network level. …”
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1702
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1703
Optimal Mobile Sensor Scheduling for a Guaranteed Coverage Ratio in Hybrid Wireless Sensor Networks
Published 2013-04-01“…This paper proposes an optimal mobile sensor-scheduling algorithm for recovering the failure sensors in hybrid wireless sensor networks (WSNs). …”
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1704
Analysis of power system transient stability with PSO-optimized distributed generation and HVDC transmission systems
Published 2025-03-01“…The study used a particle swarm optimization (PSO) algorithm to ensure reliable and feasible DG deployment. …”
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1705
Automatic Optimal Design Method for Minimum Total Resistance Hull Based on Enhanced FFD Method
Published 2024-01-01“…This study aimed to improve ship performance, particularly by reducing total resistance, through automated optimization methods. To this end, an integrated, fully automated optimization program was developed based on Python, incorporating Enhanced Free-Form Deformation (FFD) technology, scripted CFD numerical evaluation, and the Particle Swarm Optimization (PSO) algorithm. …”
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1706
Synthesis of the Sparse Uniform-Amplitude Concentric Ring Transmitting Array for Optimal Microwave Power Transmission
Published 2018-01-01“…This paper describes the synthesis method of the sparse uniform-amplitude transmitting array with concentric ring layout using particle swarm optimization (PSO) algorithm while keeping a higher BCE. …”
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1707
Straightness monitoring of scraper conveyor based on CUDA-accelerated dynamic programming and optimized panoramic stitching
Published 2025-01-01“…A homography matrix for image perspective transformation was calculated using the random sample consensus (RANSAC) algorithm. CUDA was employed to accelerate the processing by assigning tasks such as Sobel operator reading, gradient computation, total energy difference calculation, loop initialization of weights and paths, and optimal seam finding to different threads. …”
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1708
Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization
Published 2025-07-01“…A multi-objective particle swarm optimization algorithm (PCDMOPSO) based on species clustering degree was designed to solve this model using the concept of Pareto dominance and the classical particle swarm optimization algorithm. …”
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1709
Directed Fuzzy Edge Graphs Under q-ROF Environment: A Framework for Optimal Pathfinding
Published 2025-01-01“…The core contribution is a novel path-finding algorithm based on Hamacher operators and an improved score function, which identifies optimal paths between nodes under uncertainty. …”
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1710
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1711
Transient Time Reduction in Time-Varying Digital Filters via Second-Order Section Optimization
Published 2025-06-01“…This study focuses on reducing transient time in time-varying filters through second-order section (SOS) optimization. By employing a numerical optimization approach, we selectively adjust the coefficients of a single SOS within a higher-order filter to minimize the transient period while maintaining overall stability. …”
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1712
Flexibility Resource Planning and Stability Optimization Methods for Power Systems with High Penetration of Renewable Energy
Published 2025-08-01“…Finally, a hybrid SA-PSO algorithm combined with conic programming is employed to enhance computational efficiency while ensuring high solution quality for practical system scales. …”
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1713
Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization
Published 2024-12-01“…The FedDEO algorithm optimizes hyperparameters, including learning rates and batch sizes, to enhance model performance. …”
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1714
Brain tumor detection through image fusion using whale optimization and edge preserving filter
Published 2025-03-01“…Each source image is guided through guided filtering using Gaussian curvature as guidance. While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method, for which the objective function is maximization of entropy, edge strength and pixel intensity. …”
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1715
Model Predictive Control-Based Energy Management System for Cooperative Optimization of Grid-Connected Microgrids
Published 2025-03-01“…While the isolated operation of individual MGs limits system-wide optimization, the proposed approach enhances both stability and efficiency through integrated control. …”
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1716
Integrated energy, environmental, and economic optimization for energy management systems in PHEVs considering traffic conditions
Published 2025-07-01“…To achieve this, a plug-in hybrid electric vehicle is modeled based on the Samand vehicle using experimental data. A genetic algorithm is then employed to perform sizing optimization of the components. …”
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1717
Comparison of MPPT optimization methods for P&O and PSO solar panels to overcome partial shading
Published 2024-11-01“…The objective is to determine the most appropriate MPPT algorithm to optimize the efficiency of solar panels. …”
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1718
Hybrid multi-objective optimization of µ-synthesis robust controller for frequency regulation in isolated microgrids
Published 2025-01-01“…The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions. …”
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1719
Optimal Autonomous Control for Distribution Transformer Area With High Photovoltaic Penetration Based on CSBO-LSTM
Published 2025-01-01“…The model takes maximizing PV power consumption as the core objective, while considering voltage stability regulation and minimum network loss, to construct a multi-objective optimization function. …”
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1720
Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae
Published 2024-11-01“…Subsequently, the red-tailed hawk algorithm (RTH) is used to determine the optimal values for the process parameters, corresponding to maximum hydrogen yield. …”
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