Showing 2,821 - 2,840 results of 7,642 for search '((improve most) OR (((improve model) OR (improved model)))) optimization algorithm', query time: 0.48s Refine Results
  1. 2821

    Road Feel Simulation Strategy for Steer-by-Wire System in Electric Vehicles Based on an Improved Nonlinear Second-Order Sliding Mode Observer by Leiyan Yu, Zihua Hu, Hao Zhang, Xinyue Wu, Haijie Huang, Xiaobin Liu

    Published 2025-05-01
    “…Addressing the shortcoming that steer-by-wire (SBW) system cannot directly transmit road feel, this study investigates a SBW system dynamics model, steering angle tracking control, and road feel simulation algorithm design. …”
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    Article
  2. 2822

    Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

    Published 2025-05-01
    “…This study presents a Constraint Programming (CP)-based optimization framework that integrates Virtual Charging Station Mapping (VCSM) and sensor fusion positioning to decouple spatiotemporal charging conflicts and applies a dynamic topology adjustment algorithm to enhance computational efficiency. …”
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    Article
  3. 2823
  4. 2824

    Three-Layer Energy Optimization Strategy for CHP Microgrid Considering Path Loss by Kai LING, Can WANG, Gaorui ZHANG, Aoqi WANG, Sihu CHU, Fuyin TIAN, Xinran LI

    Published 2023-02-01
    “…The middle layer model improves the energy mutual aid ability between microgrids through barter and trading transactions and searches for the optimal transmission path for energy transactions between microgrids based on the Floyd-Warshall algorithm. …”
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    Article
  5. 2825

    A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

    Published 2020-01-01
    “…In addition, an artificial bee colony (ABC) algorithm is used to optimize model performance by adjusting the parameters of SVR. …”
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    Article
  6. 2826

    Optimization Design of Lazy-Wave Dynamic Cable Configuration Based on Machine Learning by Xudong Zhao, Qingfen Ma, Jingru Li, Zhongye Wu, Hui Lu, Yang Xiong

    Published 2025-04-01
    “…Three optimization algorithms—Particle Swarm Optimization (PSO), Ivy Optimization (IVY), and Tornado Optimization (TOC)—were evaluated for their effectiveness in optimizing the arrangement of buoyancy and weight blocks. …”
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    Article
  7. 2827

    Adaptive building engineering component extraction model based on DSOD by Na Lv, Xuan Yang

    Published 2025-06-01
    “…With the purpose to bring up the extraction efficiency and accuracy of building construction image component information, the dense block structure and loss function were proposed to optimize the deep supervised object detection algorithm, and an adaptive building construction component extraction model based on this algorithm was constructed. …”
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  8. 2828

    A study on life assessment of metro cowcatcher based on multi-axis vibration environment reconstruction by ZHENG Yuhao, WU Xingwen, LIU Yang, CHI Maoru, LIANG Shulin

    Published 2023-11-01
    “…Then, the modal damping ratio was optimized by the genetic algorithm, improving the consistency between the simulation and measured response results, and proving the correctness of the modeling method. …”
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    Article
  9. 2829

    Research on 3D modeling of underground roadways in coal mines by LIAN Boxiang, MI Langtao, LI Shangjie, GUO Jiyao

    Published 2025-05-01
    “…The Delaunay Triangulation algorithm was adopted to construct an irregular triangular mesh model of the underground roadway, and multi-stage optimization was used to achieve fine 3D reconstruction, which was finally presented via a visualization platform. …”
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    Article
  10. 2830
  11. 2831

    A novel hybrid model for predicting the bearing capacity of piles by Li Tao, Xinhua Xue

    Published 2024-10-01
    “…The main objective of this study is to propose a hybrid model coupling least squares support vector machine (LSSVM) with an improved particle swarm optimization (IPSO) algorithm for the prediction of bearing capacity of piles. …”
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    Article
  12. 2832

    Dynamic Scheduling Model of Bike-Sharing considering Invalid Demand by Liu He, Tangyi Guo, Kun Tang

    Published 2020-01-01
    “…A two-layer dynamic coupling model with iterative feedback is obtained by combining the demand prediction model and scheduling optimization model and is then solved by Nicked Pareto Genetic Algorithm (NPGA). …”
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    Article
  13. 2833
  14. 2834

    Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models by Yasmine Gaaloul, Olfa Bel Hadj Brahim Kechiche, Houcine Oudira, Aissa Chouder, Mahmoud Hamouda, Santiago Silvestre, Sofiane Kichou

    Published 2025-05-01
    “…Accurate and reliable fault detection in photovoltaic (PV) systems is essential for optimizing their performance and durability. This paper introduces a novel approach for fault detection and diagnosis in large-scale PV systems, utilizing power loss analysis and predictive models based on Random Forest (RF) and K-Nearest Neighbors (KNN) algorithms. …”
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    Article
  15. 2835

    A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries by Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan

    Published 2025-07-01
    “…In order to achieve accurate and reliable RUL prediction, a novel RUL prediction method which employs a back propagation (BP) neural network based on the Harris Hawks optimization (HHO) algorithm is proposed. This method optimizes the BP parameters using the improved HHO algorithm. …”
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    Article
  16. 2836

    A CNN-Based Approach for Classical Music Recognition and Style Emotion Classification by Yawen Shi

    Published 2025-01-01
    “…Meanwhile, in this study, a novel loss function has been devised to more effectively assess the model’s performance. For searching for optimal performance of the model, a novel optimization algorithm also be proposed to find optimal hyperparameters of loss function. …”
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    Article
  17. 2837

    Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters by Ran Li, Xiaofei Ye, Shuyi Pei, Xingchen Yan, Tao Wang, Jun Chen, Pengjun Zheng

    Published 2025-06-01
    “…A set of evaluation index systems for multiple disasters was established to quantify the urgency of demand. The routing optimization model of emergency vehicles for multiple disasters was proposed by combining demand urgency and road damage, and the non-dominated sorting genetic algorithm II (NSGA-II) was used to simulate and validate the model. …”
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    Article
  18. 2838

    Computational Construction of Sequential Efficient Designs for the Second-Order Model by Norah Alshammari, Stelios Georgiou, Stella Stylianou

    Published 2025-04-01
    “…Unlike traditional model-free SLHDs, our method optimizes a conditional A-criterion to improve efficiency, particularly in higher dimensions. …”
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    Article
  19. 2839

    Detection of egg appreance based on Fasternet and YOLOv5 model by WEI Jingxin, CHEN Zhongju, XU Haoran

    Published 2024-08-01
    “…Compared with YOLOv7-tiny and YOLOv8 models, the improved model has significant advantages.ConclusionThe experimental method can optimize the detection percision and reduces the parameters in the detection of egg' appreance, so as to achieve the purpose of identifying defected eggs in the automatic production. …”
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    Article
  20. 2840

    Optimization of the heat recovery performance of enhanced geothermal system based on PSO-GA-BP neural networks and analytic hierarchy process by Ling Zhou, Jingchao Sun, Yanjun Zhang, Yunjuan Chen, Honglei Lei

    Published 2025-07-01
    “…In this study, an innovative combination of numerical simulation, PSO-GA-BPNN model, and Analytic Hierarchy Process was proposed to establish an EGS comprehensive optimization method, effectively improving the accuracy and computational efficiency of scheme optimization. …”
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    Article