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Robust Framework for PMU Placement and Voltage Estimation of Power Distribution Network
Published 2025-01-01“…The suggested method uses a hybrid Multi-Objective Particle Swarm Optimization and Differential Evolution (MOPSO-DE) algorithm to find the best PMU positions and the Weighted Least Squares (WLS) method to estimate voltage magnitude. …”
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242
Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle
Published 2025-08-01“…In the mathematical model, simulations of models with passive and active suspension systems were carried out and system accuracy was confirmed. Three different methods were used for optimization: Genetic Algorithm (GA), Particle Swarm Optimization (PSE) and Differential Evolution (DE) Optimization. …”
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243
From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account
Published 2025-04-01“…The vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. …”
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244
Enhancing root-zone soil moisture estimation using Richards' equation and dynamic surface soil moisture data
Published 2025-05-01“…The application of the Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm significantly enhances the model's accuracy. …”
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245
Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge
Published 2025-01-01“…However, the current understanding of lunar craters of different sizes, especially smaller craters (diameter <5 km), is still incomplete. …”
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246
Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning
Published 2025-02-01“…This study takes Panda Avenue Subway Station as a case study to analyze the evolution of land use patterns around subway stations and explore optimization strategies to enhance land development efficiency and spatial utilizationTo fill this research gap, this paper proposes a CNN-AIMatch model based on machine learning algorithm and an enhanced PLUS-Markov prediction model using the increase and decrease of floor area ratio as a control measure, which adopts an increase in plot ratio as a control measure to improve the accuracy of the Kappa coefficient in different plot ratio scenarios and the prediction of 3D urban spatial growth trends. …”
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247
Improved YOLOv5s With Coordinate Attention for Small and Dense Object Detection From Optical Remote Sensing Images
Published 2024-01-01“…Second, since various scales of objects are present in HRRSIs, the algorithm of differential evolution is adopted to replace the traditional K-means for generating a variety of anchor boxes in different sizes. …”
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248
Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios
Published 2025-06-01“…The objectives have been achieved by the use of the COMMKE algorithm, a multi-trial vector-based monkey king evolution (MMKE) method integrated with oppositional based learning (OBL) and chaotic based learning (CBL). …”
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249
Optimal Power Flow: A Review of State-of-the-Art Techniques and Future Perspectives
Published 2025-01-01“…Additionally, it explores the evolution of these methods from conventional approaches to advanced and recent techniques, including mathematical methods and artificial intelligence methods, which include metaheuristic (search-based) and machine learning algorithms (data-driven). …”
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RLDEAO optimized of air quality data clustering analysis(RLDEAO优化的空气质量数据聚类分析)
Published 2024-09-01“…In view of this deficiency, we propose the adaptive dimension-by-dimension keyhole imaging reverse learning strategy, Levy flight combined with stagnation perturbation strategy and mutation evolution of the survival of the fittest to improve the search performance of the algorithm, thus avoiding local optimization; Secondly, a weighted maximum minimum distance product (WMMP) is designed to calculate the cluster center point, which can reflect the importance of each feature in the data and play a good role to improve the clustering results; Finally, RLDEAO and WMMP are combined to optimize K-means complementary iteration. …”
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Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization
Published 2024-09-01“…In this study, a combination of termination criteria is proposed, utilizing three different criteria to end the algorithmic process. …”
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The Optimization of Stand Structure Can Significantly Alleviate the Flammability of Forest Ecosystems
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