Optimal Control for A SEIR Epidemiological Model Under the Effect of Different Incidence Rates by Derya Avcı

“…Afterward, the optimal system with right and left fractional Caputo derivatives are solved numerically by the forward-backward sweep method combined with the fractional Euler method. …”
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Discrete Optimal Control Method Based on the Optimal Strategy of Fishing by Lichun Zhang, Qingdao Huang

“…Our method is new and efficient for discrete optimal control problem, which is different from the other optimal methods such as the traditional variational method, the Pontryagin principle of maximum, and the dynamic programming. …”
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Procedure of the Synthesis of Control Device by the Method of Analytical Design of the Optimal Regulator for the Problem of Aircraft Guidance Along a Hyperbola by V. V. Legkostup, S. А. Shaban, V. E. Markevich

“…The purpose of the article is to describe the methodology for obtaining the structure of the optimal controller, which provides the guidance of the aircraft to the target point on the plane, using the method of time difference of arrivals (TDoA) for two navigation positions. …”
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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

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A new RP-HPLC method as an auxiliary tool for optimization of sample preparation procedures for tracing of PPCPs of different hydrophilicities by Portillo-Castillo Omar J., Castro-Ríos Rocío, Chávez-Montes Abelardo, González-Horta Azucena, Cavazos-Rocha Norma, De Torres Noemí Waksman, Garza-Tapia Marsela

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Advanced numerical simulations of lid-driven cavity flows using an optimized parallelized fractional step method by Muhammad Abid, Tayyaba Akhtar, Mohamed M. Awad, Muhammad Imran

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A Sufficient Descent Property for a Different Parameter to Enhance Three-Term Method by Ghada Al-Naemi, Samaa Al-bakri

“…The numerical comparison demonstrates that our proposed method works well for solving unconstrained optimization problems.…”
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Adjustment of Optimal Parameters to Control the Temperature in Different Conductors by Amirhossein Oudi, Samaneh Faramarzi, Maryam Hosseini, Yegane Davoodbeygi

“…Then, the studied system was written in the state space. In this method, partial differential equations were converted into ordinary differential equations with the help of finite difference, then a suitable controller was designed for temperature control. …”
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Optimization of Zero-Energy Buildings Based on Multicriteria Optimization Method by Jianda Chen, Xingwei Dai, Xingwen Cai

“…At the same time, the multiobjective optimization method and process of the passive energy-saving technology of the near-zero energy consumption building proposed in this paper, as well as the technology combination template under different needs, provide a reference for the selection of the technology path.…”
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Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches by T. Anitha Kumari, Sanket Mishra

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Retracted: Optimization of Process Parameters for Friction Stir Welding of Different Aluminum Alloys AA2618 to AA5086 by Taguchi Method by Advances in Materials Science and Engineering

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Optimization of Low-Calorific Coal Application at Different Loads in 600 MW Supercritical Thermal Power Plant with the PROMETHEE-GAIA Method by Ali Riza Motorcu, Hülya Demirören, Aykut Emir

“…Using criteria weights determined by the entropy method, the optimal load and domestic-imported coal blend ratio were determined using the Preference Ranking Organization Method for Enrichment Evaluation-Geometrical Analysis for Interactive Aid (PROMETHEE-GAIA) multicriteria decision-making method. …”
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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

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Optimization method of time of use electricity price considering losses in distributed photovoltaic access distribution network by Tianshou Li, Qing Xu, Weiwu Li, Xinying Wang, Zhengying Liu

“…The experimental results show that after the implementation of this optimization method, the peak valley difference of the daily power load curve of the distribution network is only 350 MW, demonstrating superior peak shaving and valley filling effects.…”
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Simultaneous determination methods of 35 skeleton flavor substances in 12 flavor types Baijiu by MA Wei, WU Yinghuan, HE Yuan, XU Yuecheng, ZHONG Ciping

“…In order to solve the demand for a rapid quantification of skeleton flavor components in 12 flavor types Baijiu, a detection method which could simultaneously determine the skeleton flavor in Baijiu by GC was established. …”
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The Optimization Guidance of Hollow Antiresonant Fibers Based on Various Optimization Methods by Lina Guo, Biyou Jiang, Zhiyu Chang, Yu Li, Xueqin Sun, Sukai Wang, Ping Chen, Deqing Niu, Zihan Liu

“…This paper employs five different general-purpose optimization methods to perform parameter optimization on single-layer hollow antiresonant fibers. …”
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Effects of different parameter estimators to error rate in discriminant analysis by Hayrinisa Demirci Biçer, Cenker Biçer

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Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors by HUANG Junxian, CHEN Chun, CAO Yijia, QUAN Shaoli, WANG Yi

“…To comprehensively and accurately assess the risk of faults in a distribution network, this paper proposes a fault risk assessment method that considers the difference in entropy value of rare factors. …”
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Editorial: Modelling and numerical simulations with differential equations in mathematical biology, medicine and the environment, volume II by Appanah R. Appadu, Ramoshweu S. Lebelo, Hagos H. Gidey, Hagos H. Gidey, Sourav Das

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Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting by TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming

“…A combination of modal decomposition and deep learning forecasting methods was introduced to daily runoff forecasting to address the characteristics of unstable and volatile daily runoff series.Firstly,the complete ensemble empirical modal decomposition method was used to decompose the daily runoff time series,so as to obtain the modal components of different frequency components.Secondly,the daily runoff forecasting model was constructed for different modal components based on the long short-term memory neural network (LSTM),and the hyperparameters of the forecasting model were optimized using the grid search parametric optimization algorithm.Finally,the forecasting results of each model were modally reconstructed to obtain daily runoff forecasting results.The daily runoff forecasting of the Yichang hydrological station was taken as an example.Compared with the single LSTM,the RMSE,MAE,and MAPE of the proposed combination model were reduced by 65.02%,58.35%,and 2.88%,respectively.The decomposition effect of the complete ensemble empirical mode decomposition was better than that of the traditional modal decomposition method,which provided a new method and reference for nonlinear and non-stable daily runoff forecasting in a short time scale.…”
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