Convergence Study of Minimizing the Nonconvex Total Delay Using the Lane-Based Optimization Method for Signal-Controlled Junctions by C. K. Wong, Y. Y. Lee

“…This paper presents a 2D convergence density criterion for minimizing the total junction delay at isolated junctions in the lane-based optimization framework. The lane-based method integrates the design of lane markings and signal settings for traffic movements in a unified framework. …”
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Optimization and Validation of RP-HPLC-UV/Vis Method for Determination Phenolic Compounds in Several Personal Care Products by Mohammed Akkbik, Zaini Bin Assim, Fasihuddin Badruddin Ahmad

“…An HPLC method with ultraviolet-visible spectrophotometry detection has been optimized and validated for the simultaneous determination of phenolic compounds, such as butylated hydroxyanisole (BHA) and butylated hydroxytoluene (BHT) as antioxidants, and octyl methyl cinnamate (OMC) as UVB-filter in several personal care products. …”
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Optimization of a Method for Detecting Single copies of Hepatitis B Virus DNA using CRISPR/Cas systems by M. A. Tyumentseva, A. I. Tyumentsev, A. N. Prelovskaya, V. G. Akimkin

“…Thus, the time required to detect single copies (6 copies per reaction) of hepatitis B virus DNA using the original method is 83 minutes, while for the optimized method it is 32 minutes.Conclusions. …”
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An Active-Reactive Power Coordinated Robust Optimization Method for Electricity Gas Interconnection Based Multiple Interval Uncertain by LIN Chaohua, ZHANG Junda, WU Rongfen, LIANG Haitian, WANG Qiuping, LIAO Xiaobing

“…[Conclusions] The proposed active-reactive coordinated robust optimization method for an electricity-gas interconnected system based on the multiple interval uncertainty set can not only effectively deal with the challenges generated by the volatility of new energy sources but also improve the system’s robustness while reducing the conservatism. …”
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A multi-user multi-operator computing pricing method for Internet of things based on bi-level optimization by Wei Jiang, Huiqiang Wang, Bingyang Li, Haibin Lv, Qingchuan Meng

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Two-Stage Optimal Dispatching Method for Highway Service-Area Microgrid Considering Emergency Power-Supply Vehicles by HU Junjie, QU Jiatong, LIU Xuetao, GUI Jiangyi

“…[Conclusions] Case analysis verifies the effectiveness of the proposed two-stage optimization scheduling method for the service-area microgrid in extreme scenarios. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…Traditional methods also lack the ability to capture complete vehicle path information essential for signal optimization. …”
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Optimization of local dry underwater laser welding process for stainless steel based on orthogonal experiment by Xingshuai LI, Qinghua ZHANG, Yongqing ZHAO, Yingjie CHEN, Qingjie SUN, Yibo LIU, Yifeng TIAN

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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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Possibilities for Higher Efficiency of Power Equipment while Using Multi-Phase Flows in Centrifugal Power Floors by V. P. Kascheev, E. O. Voronov, O. V. Kascheeva, V. A. Khaimov, V. A. Gashenko, V. N. Sorokin, N. N. Ulasiuk, G. T. Kulakov, O. L. Klimenkova

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Distributed dynamic event-triggered time-varying resource management for microgrids via practical predefined-time multiagent methods by Tingting Zhou, Salah Laghrouche, Youcef Ait-Amirat

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Test Case Prioritization Based on Neural Networks Classification: A Replication Study and Hyper-Parameter Optimization Using Taguchi Methods by Andreea Vescan, Cristina-Maria Tiutin

“…The Taguchi approach was utilized, implementing an L4 design to optimize the layers and <inline-formula> <tex-math notation="LaTeX">$hidden \ neurons$ </tex-math></inline-formula> parameters, while an L9 design also incorporated the epochs and <inline-formula> <tex-math notation="LaTeX">$batch \_size$ </tex-math></inline-formula> parameters. …”
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Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge by Botian HAO, Yunfei DIAO, Ya WEI, Donghai XU

“…Traditional disposal methods such as landfill and composting face bottlenecks including land resource constraints, greenhouse gas emissions, and heavy metal contamination, while incineration suffers from technical issues such as high energy consumption and dioxin pollution. …”
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Design of optimized tread profile for high-speed EMUs by SUN Weinan, CHI Maoru, XIE Yucheng, CAI Wubin, ZHANG Xiao, CHEN Yongfa

“…Through wheel-rail contact analysis, the underlying reason for low equivalent conicities in the interactions of the LMA tread profile with 60N and over-ground rails was identified. A reverse design method was then employed to enhance the nominal equivalent conicity while preserving the existing wheel-rail contact characteristics, resulting in the first-stage tread profile optimization, LMA_opt1. …”
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Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland by Tonglin Fu, Dong Wang, Jing Jin

“…To achieve this purpose, the Convolutional neural network (CNN) was integrated with Bidirectional long short-term memory network (BiLSTM) as main estimating module, and the Sparrow search algorithm (SSA) was employed to search the optimal hyperparameters of CNN-BiLSTM. To overcome the drawback that directly using measured evaporation time series to predict evaporation may lead to large error, the Variational mode decomposition (VMD) was used to extract multiscale traits of evaporation time series, and Whale optimization algorithm (WOA) was adopted to find the optimal parameters of VMD, and a novel hybrid deep learning model WOA-VMD-CNN-SSA-BiLSTM was proposed to estimate the evaporation in the Linze County, China. …”
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Comparative Analysis of Some Methods and Algorithms for Traffic Optimization in Urban Environments Based on Maximum Flow and Deep Reinforcement Learning by Silvia Baeva, Nikolay Hinov, Plamen Nakov

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Optimization Methods for the Cylinder Mouth Structure of Type IV On-board Hydrogen Storage Cylinder under Various Influencing Factors by Zhang Enhui, Wang Zhiqiang, Shi Xiaolong, Zhao Yangchun, Zhang Jiahui, Liu Tao, Wang Wenchao

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Multi-Parameter Structural Optimization of Shale-Hydrocarbon-Dissolvable Ball Seat Slips Based on Safety and Performance Assessment Methods by Shuang Jing, Anle Mu, Zhen Chen, Xiaoyang Ying, Nengpeng Chen, Qingjie Ran

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A systematic review on environmentally friendly hydrogen production methods: comparative analysis of reactor technologies for optimal efficiency and sustainability by Aisha Hamid, Raja Razuan Raja Deris, Siti Nur Amira Shaffee, Taufiq Yap Yun Hin, Divine Senanu Ametefe, Mohd Lokman Ibrahim

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Investigation of technoeconomic optimization for sizing renewable energy systems using metaheuristic and hybrid algorithms by Bouafia Mohammed, El Fathi Amine, El Akchioui Nabil

“…This study focuses on optimizing grid-connected Hybrid Renewable Energy Systems (HRES) in Morocco using technoeconomic approaches, including metaheuristic algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Grey Wolf Optimization (GWO) and Artificial Bee Colony (ABC) and hybrid methods combining these latter with Modified Marquardt Gradient Descent (MGD). …”
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