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  1. 581

    High Dynamic Optimized Carrier Loop Improvement for Tracking Doppler Rates by Amirhossein Fereidountabar, Gian Carlo Cardarilli, Marco Re

    Published 2015-01-01
    “…Mathematical analysis and optimization of a carrier tracking loop are presented. …”
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  2. 582
  3. 583

    Optimal fractional order automatic generation control including an excitation system for hybrid interconnected grids by Awadh Ba Wazir, Sultan Alghamdi, Abdullah Ali Alhussainy, Abdulraheem H. Alobaidi, N. Gowtham

    Published 2025-07-01
    “…The hybrid technique consists of two different types of algorithms: the secretary bird optimization algorithm and pattern search. The objective function is created utilizing the integral of time square error (ITSE), overshoot, undershoot, and settling time, with suitable weight factors. …”
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  4. 584

    MULTI-OBJECTIVE OPTIMIZATION DESIGN OF ROADHEADER’S CUTTING HEAD BASED ON THE GA by ZHAO LiJuan, FAN JiaYi

    Published 2018-01-01
    “…In order to improve the dynamic reliability of the roadheader,the roadheader’s rigid-flexible coupled model was established based on virtual prototyp,dynamic reliability analysis was done on the rotary table of different structural parameters,evaluation function was established based on mechanical optimization design theory,the function’s design variables was half cone angle,helix Angle and cutting line spacing, the function’s objective function was the minimization of maximum equivalent stress as the objective function.The cutting head’s optimal structural parameters was obtained by genetic algorithm.Based on the cutting productivity and rotary table equivalent stress, the optimal yawing speed was obtained by optimized multi-objective.The results shows that after two optimizations,rotary table maximum stress is decreased 18.495 MPa,the fatigue life is improved from 3.067 E4 to 3.326 E6,productivity is improved 18.6 t/h,prediction error is less than 1.3%,meet the design requirement.This method provides data support for the structure and kinematic parameters of cutting head,provides a new method for the optimization design of heavy complicated mechanical equipment.…”
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  5. 585

    MICRO-DEFORMATION BEAM’S CONSTRUCTION DESIGN AND OPTIMIZATION ON VERTICAL FORCE LOADING by CHENG HaiYing, SHI Tou, YANG Tao

    Published 2016-01-01
    “…Using the crossbeam’s total deformation and equivalent stress tiny as the objective function,imitating I-steel and equal intensity beam’s key structures which is P<sub>3</sub>,P<sub>4</sub>,P<sub>5</sub>,P<sub>6</sub> as the design variable to optimize the crossbram structure. Through the vertical loading force experimental analysis for non-standard crossbeam,the system maximum deformation is 38 μm when the loading force is 10 k N,ANSYS Workbench solving is 40 μm,the relative error is 5% of them,crossbeam meets the conditions required by optimization.…”
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  6. 586
  7. 587

    Optimization of Sulfur Determination in Vanadium-Titanium Magnetite Ore in the Panxi Area by Yong WANG, Zijing LI, Lin LIU, Guowei LI

    Published 2024-05-01
    “…The optimized experimental conditions were as follows: analysis power of 95%, iron particle flux of 0.30g, copper particle flux of 0.20g, and tungsten particle flux of 1.0g, sample mass of 0.30g. …”
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  8. 588

    Testing an optimally weighted combination of common and/or rare variants with multiple traits. by Zhenchuan Wang, Qiuying Sha, Shurong Fang, Kui Zhang, Shuanglin Zhang

    Published 2018-01-01
    “…Recently, joint analysis of multiple traits has become popular because it can increase statistical power to identify genetic variants associated with complex diseases. …”
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  9. 589

    Optimizing PID control for automatic voltage regulators using ADIWACO PSO by Yaw Opoku Mensah Sekyere, Priscilla Oyeladun Ajiboye, Francis Boafo Effah, Bernard Tawiah Opoku

    Published 2025-03-01
    “…The ADIWACO PSO incorporates adaptive hyperbolic tangent functions for inertia weight and acceleration coefficients, effectively balancing exploration and exploitation during the optimization process. Using the Integral Time Absolute Error (ITAE) as the objective function, the proposed method achieves superior controller performance compared to existing optimization techniques, including BAT, Improved KIA, ARO, and BBO. …”
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  10. 590

    Modification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor by T. I. Petrov

    Published 2021-07-01
    “…The genetic algorithm is more accurate than traditional analytical methods, the method used in the analysis of AC machines, takes less time than the usual trial and error design procedure based on the finite element method. …”
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  11. 591

    Broadband Polarization-Insensitive Metamaterial Perfect Absorbers Using Topology Optimization by Sze Ming Fu, Yan Kai Zhong, Nyan Ping Ju, Ming-Hsiang Tu, Bo-Ruei Chen, Albert Lin

    Published 2016-01-01
    “…In the synthesis of the optimal patterns, we use 5-harmonic rigorously coupled wave analysis (RCWA) and experimental trials to shorten the trial-and-error time. …”
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  12. 592
  13. 593

    Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

    Published 2025-07-01
    “…This article proposes a numerical modeling framework from hybrid AI models, combining physics-informed neural networks and RL for real-time optimization of orientation in solar panels. The methodology uses numerical modeling for precise energy transformation analysis, and deep learning-based optimization dynamically adjusts the angles of panels to maximize power output. …”
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  14. 594

    Frequency Regulation of Interconnected Power System Using Black Widow Optimization by Preeti Dahiya, Akshay Kumar Saha

    Published 2022-01-01
    “…Additionally, the sensitivity analysis of the optimized controlled system is performed to conclude that the proposed BWOA optimized PID controller optimized controller is insensitive to changes in system parameters and eliminates the necessity of resetting of controller parameters. …”
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  15. 595

    Optimization of Parameters of Two-Beam Laser Twelding of Quartz Raw Materials by V. A. Emelyanov, E. B. Shershnev, Y. V. Nikitjuk, S. I. Sokolov, I. Y. Aushev

    Published 2023-01-01
    “…Optimization was performed for two combinations of quartz and impurity particle sizes. …”
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  16. 596
  17. 597

    Enhanced Butterfly Optimization and Deep Learning Algorithm for Student Placement Prediction by T. Kavi Priya, N. Kumar

    Published 2025-07-01
    “…Initially, pre-processing is applied on the student placement dataset using K-Means Clustering (KMC) algorithm which handles the Missing Values (MV) and error values efficiently. Then, Enhanced Butterfly optimization algorithm (EBOA) is used to select the best students for placement based on their qualities. …”
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  18. 598

    Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM) by Shaochuan Li, Peisong Diao, Xianghao Li, Yongli Zhao, Hongda Zhao

    Published 2025-01-01
    “…Statistical significance was assessed through ANOVA (<i>p</i> < 0.05), and factor interactions were analyzed via response surface analysis. The optimal operational parameters were found to be a working speed of 14 km/h, a rotation speed of 339.2 rpm, and an installation centre distance of 100 cm. …”
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  19. 599

    Numerical Study of Optimal Temperature Sensor Placement in Multi-Apartment Buildings with Radiant Floor Heating by Guiqiang Wang, Shilu Li, Haiman Wang

    Published 2025-06-01
    “…The RMSE analysis reveals that, despite obvious temperature variations across the residence, the root mean square errors (RMSEs) at the designated sensor locations remain consistently low, with a maximum of 0.35 °C and most values below 0.3 °C. …”
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  20. 600

    Investment Portfolio Optimization on Russian Stock Market in Context of behavioral theory by N. M. Red’kin

    Published 2019-08-01
    “…The paper investigates possible investment portfolio optimization considering behavioral errors. The research rationale is due to the adaption of the investment recommendations for unqualified investors on the Russian stock market. …”
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