Multi-period, Multi-contingency and Interval Optimal Power Flow for Dimensioning and Allocation of Spinning Reserve by Ricardo Augusto Borba, Thelma Solange Piazza Fernandes

“…In this context, the present work proposes a linear multi-period, multi-contingency and interval optimal power flow scheme, which can schedule the power dispatch of a hydrothermal system (including electrical and energetic restrictions) for a horizon of one day ahead, and is also capable of dimensioning and allocating the amounts of spinning reserve necessary to supply different situations involving the outflow of lines and balancing levels of renewable energy not supplied. …”
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Optimization of the Route Price Valuation Method for Commercial Land with Multiple Street Frontages—A Case Study of Quanzhou by Jiaxuan Chen, Xiao Teng, Zhenjiang Shen, Chen Chen, Fang Wu

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Gearbox Fault Diagnosis Method Based on Improved Multi-scale Mean Permutation Entropy and Parameter Optimization SVM by Guo Panpan, Zhang Wenbin, Cui Ben, Xu Han

“…Therefore, this study proposes a gearbox fault identification method based on the improved multi-scale mean permutation entropy and the parameter optimization support vector machine（SVM）. …”
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Maximum power point tracking of photovoltaic module based on Particle Swarm Optimization enhanced with Quasi-Newton method. by Montaser Abdelsattar, Hamdi Ali Mohamed, Mohamed A Ismeil, Ahmed A Zaki Diab

“…Moreover, the PSO is enhanced with a Quasi-Newton (QN) local search method for tuning the optimal MPP.…”
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Aerodynamic Shape Optimization of Wing–Fuselage Intersection for Minimum Interference Drag by Nuno M. B. Matos, André C. Marta

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Optimization of Drying Process for Squid-Laver Snack by a Combined Method of Fuzzy Synthetic and Response Surface Methodology by Chang-Cheng Zhao, Gui-Hun Jiang, Jong-Bang Eun

“…The aim of this study was to investigate the effects of drying temperature (50–70°C) and drying time (3–5 h) on the physical properties and quality of squid-laver snack (SLS) using response surface methodology combined with a synthetic evaluation method to optimize the drying process conditions. …”
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Optimization of Blending Parameters and Fiber Size of Kenaf-Bast-Fiber-Reinforced the Thermoplastic Polyurethane Composites by Taguchi Method by Y. A. El-Shekeil, S. M. Sapuan, M. D. Azaman, M. Jawaid

“…“Kenaf-fibers- (KF-)” reinforced “thermoplastic polyurethane (TPU)” composites were prepared by the melt-blending method followed by compression molding. Composite specimens were cut from the sheets that were prepared by compression molding. …”
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Theoretical Optimization Method of Tunnel Lining in Fractured Rock Mass Based on Rock Classification and Hoek–Brown Criterion by Caihua Shen, Zhikang Zeng, Jun Zhu

“…The method allows for the calculation of the optimal combination of support time and lining thickness tailored to different surrounding rock conditions, offering significant reference value for tunnel lining optimization.…”
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Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization by Kailun Ji, Ping Wang, Yinliang Jia

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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

“…The experimental results demonstrate that the GPR-TD3 method is capable of learning the globally optimal solution for flapping propulsion in the experimental environment, including maximum speed and maximum efficiency. …”
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Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient by Kaize Zheng, Le Wang, Zhenghong Tu, Ying Xu

“…Furthermore, the demand for grid-forming energy storage at each node of the power system under different operation scenarios can be quantified according to this method. …”
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A Modified Sine Cosine Algorithm Based on A Novel Locally Weighted Method for Global Optimization Problems by Shahad Mohammed, Nazar Hussein, Mohammed Alkahya

“…The sine cosine algorithm (SCA), a recently discovered population-based optimization technique, is used to resolve optimization issues. …”
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Accurate Localization Method Combining Optimized Hybrid Neural Networks for Geomagnetic Localization with Multi-Feature Dead Reckoning by Suqing Yan, Baihui Luo, Xiyan Sun, Jianming Xiao, Yuanfa Ji, Kamarul Hawari bin Ghazali

“…However, the existing geomagnetic localization methods suffer from location ambiguity. To address these issues, we propose a fusion localization algorithm based on particle swarm optimization. …”
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Research on Unmanned Aerial Vehicle Emergency Support System and Optimization Method Based on Gaussian Global Seagull Algorithm by Songyue Han, Mingyu Wang, Junhong Duan, Jialong Zhang, Dongdong Li

“…Furthermore, by applying the Tammer decomposition method to break down the system optimization problem, the Global Learning Seagull Algorithm for Gaussian Mapping (GLSOAG) is proposed to jointly optimize the system’s energy consumption and latency. …”
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MHD Maxwell nanofluid flow over a porous conical surface: A fractional approach by D.S. Swetha, K.R. Madhura, Babitha, Irfan Anjum Badruddin, Sarfaraz Kamangar, Abdul Azeem Khan

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An islanding detection method for grid-connect inverter based on parameter optimized variational mode decomposition and deep learning by Yan Xia, Yan Xia, Yuli Lv, Feihong Yu, Yiqiang Yang, Yili Yang, Wei Li, Ke Li

“…To address the drawbacks of active methods and passive methods, an intelligent islanding detection strategy based on parameter-optimized variational mode decomposition (VMD) and deep learning was developed. …”
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Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm by PANG Tingting, ZHANG Guiyu, LIU Kecai, LI Xiaoping, TUO Xianguo, PENG Yingjie, ZENG Xianglin

“…In order to improve the accuracy and generalization capacity of the classification model, a method combining genetic algorithm (GA) and bootstrap aggregating (Bagging) was proposed to optimize the support vector machine (SVM) classifier. …”
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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

“…Then, by introducing new reservoir hydrography data in the optimal model, the sedimentation trend was predicted in the feature years (1410 and 1420). 3-Results and Discussion The results showed that the application of imperialist competitive algorithm for the extraction of optimal parameters of the area reduction method would lead to a greater correlation between estimated and actual volumes of the reservoir (reservoir hydrography in 2010) at different levels compared with methods of the Borland, Miller and Lara. …”
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Optimization and validation of a real-time PCR method for the simultaneous detection of Lactococcus garvieae and Streptococcus agalactiae in fish by Taona Zinyakasa, Farisai Chidzwondo, Tatenda Makawa, Sitokozile Sibanda, Exnevia Gomo, Tivapasi Musa, Elizabeth Gori

“…Aim: To optimize and validate a rapid, sensitive and specific real-time PCR (qPCR) method for detecting L. garvieae and S. agalactiae in fish. …”
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Optimization method for main parameters of vibration protection system in motor grader seat with quasi-zero static characteristic by M. S. Korytov, I. E. Kashapova, V. S. Shcherbakov

“…For practical application of the developed vibration protection system of a seat, it is necessary to solve the problem of assignment and optimization of its main design parameters.Materials and methods. …”
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