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  1. 381
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    Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm by Haihong FAN

    Published 2021-03-01
    “…This proposed method firstly generates multiple learners by bootstrap sampling, and then use glowworm swarm optimization algorithm to select some learners with large differences and high accuracy to participate in the integration. …”
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  3. 383
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    Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

    Published 2025-05-01
    “…The Wilcoxon signed-rank test confirms significant statistical differences among the algorithms. This study provides an effective method for experience-oriented path optimization and offers insights into algorithm selection for complex TTDP problems.…”
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  6. 386
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    Optimal Design Methodology of Maxwell–Coulomb Friction Damper by Chun-Nam Wong, Wai-On Wong

    Published 2025-05-01
    “…Optimal paths of damping and stiffness ratios are determined by the central difference Newton search method. …”
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    Interfacial Shear Properties of Red Clay and Polyurethane with Different Densities by Feng Cheng, Xinran Zhang, Qingwang Li

    Published 2025-05-01
    “…The test results show: The incorporation of polyurethane has a significant promoting effect on the interfacial shear strength, there is a linear positive correlation between the interfacial shear strength and the density of polyurethane; The shear strengths of the composites with densities of 0.2 g/cm<sup>3</sup>, 0.5 g/cm<sup>3</sup>, and 0.8 g/cm<sup>3</sup> are 1.53 times, 1.60 times, and 2.24 times that of pure red clay respectively, the optimal polyurethane density is between 0.5 g/cm<sup>3</sup>–0.8 g/cm<sup>3</sup>; The bilinear finite element model can effectively simulate indoor shear tests, and the average error of the simulated shear strength result is within 9.4%, which provides an effective method for understanding the interfacial shear performance of the composite body.…”
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  11. 391

    Second-order design of GNSS networks with different constraints using particle swarm optimization and genetic algorithms by Al Shouny Ahmed

    Published 2025-04-01
    “…Additionally, the findings indicate that over-constrained optimization using GAs and PSO yields more accurate results, with consistent coordinate differences. …”
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    Choice of optimal conditions of Isoniazid and Thiotriazolin artificial mixture analysis by high-performance liquid chromatography method by L. I. Kucherenko, O. V. Khromylyova, Z. B. Moryak, H. I. Tkachenko

    Published 2014-04-01
    “…At present a great attention is paid to the novel physicochemical methods of drugs analysis, notably high-performance liquid chromatography. …”
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  14. 394

    A Convergent Legendre Spectral Collocation Method for the Variable-Order Fractional-Functional Optimal Control Problems by Zahra Pirouzeh, Mohammad Hadi Noori Skandari, Kameleh Nassiri Pirbazari

    Published 2024-01-01
    “…In this paper, a numerical method is applied to approximate the solution of variable-order fractional-functional optimal control problems. …”
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  15. 395

    Optimal extraction of a polysaccharide with antioxidant and hypoglycemic activities from the root of Radix Puerariae lobatae (Willd.) Ohwi by Jingjing Fang, Yijun Zhang, Yuqing Liu, Wen Cao, Qiuyue Lv, Jiangping Wu, Guodong Wang, Jun Han

    Published 2024-12-01
    “…In this study, we employed the response surface method to optimize the extraction of a polysaccharide from Radix Puerariae lobatae (PLP). …”
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  16. 396

    BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node by Qin Bo, Liu Yongliang, Wang Jianguo, Qin Yan, Yang Yunzhong

    Published 2016-01-01
    “…In order to solve the problems that gear fault classification model has weak generalization ability,poor accuracy causing by the fault features of gear is difficult to extract and extreme learning machine input weights and threshold of hidden layer nodes randomly selected,a BA- ELM gear fault diagnosis method is puts forward based on energy feature of wavelet packet optimal nodes.First,the gear vibration signals are decomposed by using wavelet packet in this method,the optimal nodes is selected by using the correlation coefficient between each node decomposition signals and original signal,and the energy feature is calculated.Second,the bat algorithm is used to optimize the extreme learning machine input weights and threshold of hidden layer node and the gear fault classification model of BA-ELM is established.Finally,the energy entropy feature vectors of the optimal wavelet packet nodes as the model input is used to identify the different fault states of gear.The experimental results show that,comparing with SVM and ELM fault classification method,the BA-ELM gear fault diagnosis method based on energy feature of wavelet packet optimal nodes has higher classification accuracy and better generalization ability.…”
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  17. 397
  18. 398

    Optimal active and reactive power dispatch in the presence of wind farms using voltage indicators and metaheuristic methods by Cherkaoui Nazha, Belfqih Abdelaziz, Hadjoudja Abdelkader

    Published 2025-01-01
    “…In the case study, three different metaheuristic methods are used to resolve the objective function. …”
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    Model description of combined numerical and stochastic groundwater flow in Bandung-Soreang Groundwater Basin, West Java, Indonesia by Achmad Darul, Dasapta Erwin Irawan, Prihadi Sumintadireja, Gumilar Ramadhan

    Published 2025-06-01
    “…Hydraulic conductivity (K) was estimated using the ordinary kriging method, a geostatistical technique that allows for optimal interpolation based on regression against observed values of surrounding data points. • Analyses: This study examines K distribution using a block model, employing finite difference modeling with an structured grid 0.1 km². …”
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