Relaxation Parameter Optimization in Electrical-to-Mechanical Co-Simulation Based on Time Windowing WR Technique by Md Moktarul Alam, Richard Perdriau, Mohammed Ramdani, Mohsen Koohestani

“…This paper presents an innovative approach to enhancing the time windowing waveform relaxation (WR) technique in electrical-to-mechanical co-simulation by optimizing relaxation parameters for improved performance. …”
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Optimization of Tillage Operation Parameters to Enhance Straw Incorporation in Rice-Wheat Rotation Field by Sagni B. Miressa, Qishuo Ding, Yinian Li, Edwin O. Amisi

“…The findings demonstrate the potential to implement strategies through operational parameters to significantly enhance agricultural practices.…”
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Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics by Nicolina Sciaraffa, Antonino Gagliano, Luigi Augugliaro, Claudia Coronnello, Claudia Coronnello

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Optimization of extrusion parameters for low-cost alumina–kaolin ceramic membranes via CCD by Mahmoud Moharrami, Mohammadreza Omidkhah, Mohammad Salehi Maleh

“…Key fabrication parameters, including the compositions of alumina, kaolin, talc, starch, and polyethylene glycol (PEG), and the sintering temperature, were optimized to achieve the desired porosity, average pore size, and flexural strength. …”
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Optimal thresholds and key parameters for predicting influenza A virus transmission events in ferrets by Troy J. Kieran, Xiangjie Sun, Taronna R. Maines, Jessica A. Belser

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Cryopreservation Protocol Optimization for <i>Penaeus monodon</i> Sperm: Reagent Screening and Parameter Refinement by Dewei Kong, Song Jiang, Jianzhi Shi, Qibin Yang, Jianhua Huang, Yundong Li, Yangyang Ding, Jieyi Wang, Xinyu Qi, Tianmi Liu, Falin Zhou

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THE MODIFIED MARINE PREDATOR ALGORITHM FOR SOLVING OPTIMIZATION PROBLEMS (MMPA) by Nisreen Al Barrak, Hegazy Zaher, Naglaa Ragaa Saeid, Eman Oun

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Metaheuristic Algorithm to Find Optimal Sizing of Stand-Alone Hybrid Energy System in Remote Areas: A review by ABBAS Q.MOHAMMED, Kassim A. Al-Anbarri, Ihsan Mousa Jawad

“…In this paper, we present a comprehensive review for used metaheuristic algorithms to find the optimal sizing of the energies used in the hybrid energy system (HES) for single and multi-objective optimization. …”
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Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm by Doujun Zhang, Yong Wu, Youcong Ni, Tinghuang Zhang, Chenxiang Gao

“…These strategies effectively reduce the probability of falling into local optimality due to too many parameters and deal with discrete variables in the rendering parameters by applying a probabilistic discretization strategy to the discrete variables so that MSPDDE is able to find all the rendering parameter optima of Cesium 3DTiles. …”
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Multi-objective optimization of design parameters for tractor hydro-mechanical continuously variable transmissions by Zhen Zhu, Rui Hou, Hongwei Zhang, Dehai Wang, Long Chen

“…Abstract The design parameters of the transmission directly affect the vehicle’s dynamics and fuel economy, due to the complexity of the tractor’s working conditions and operating modes, the optimization of the transmission design parameters is more difficult. …”
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Precise estimation of solar photovoltaic parameters via brown bear optimization and Differential Evolution by Khalid M. Hosny, Amr A. Abd El-Mageed, Amr A. Abohany, Reda M. Hussein, Mona Gaffar

“…The proposed BBOA-DLUI-DE method has been rigorously evaluated against state-of-the-art techniques, demonstrating superior performance in finding optimal parameter values for various PV models. …”
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TEXT CLASSIFICATION USING ADAPTIVE BOOSTING ALGORITHM WITH OPTIMIZATION OF PARAMETERS TUNING ON CABLE NEWS NETWORK (CNN) ARTICLES by Dewi Retno Sari Saputro, Krisna Sidiq, Harun Al Rasyid, Sutanto Sutanto

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SVR-Optimized ANN Model for Predicting Earthquake Risk in Electrical Substations Based on Disaster Datasets in the Aceh Region, Indonesia by Elvy Sahnur Nasution, Yuwaldi Away, Syahrial, Ira Devi Sara, Andri Novandri

“…This paper proposes a predictive model based on an Artificial Neural Network (ANN) optimized with Support Vector Regression (SVR) to predict seismic parameters as part of earthquake risk mitigation for substations. …”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…This paper addresses the challenge of speed tracking by proposing a genetic algorithm-based optimization method for PID controller parameters. Traditional PID controllers often struggle with maintaining accuracy and response time in highly variable conditions, but by optimizing these parameters through the genetic algorithm, substantial improvements in speed control precision and adaptability can be achieved, enhancing the vehicle’s ability to navigate real-world driving scenarios with greater stability. …”
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Comprehensive Analysis of Milling Performance and Multi-Objective Parameter Optimization for YG6C Milling Tool by Fada Cai, Rongfei Xia

“…The findings indicated that the impact of these parameters on the wear ranked in the following order: <i>n</i> > <i>v</i>_f > <i>a</i>_p. …”
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Optimized Fake News Classification: Leveraging Ensembles Learning and Parameter Tuning in Machine and Deep Learning Methods by Abubaker A. Alguttar, Osama A. Shaaban, Remzi Yildirim

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Chemometric and meta-heuristic algorithms to find optimal wavelengths and predict ‘Red Delicious’ apples traits using Vis-NIR by Mahsa S. Razavi, Vali Rasouli Sharabiani, Mohammad Tahmasebi, Silvia Grassi, Mariusz Szymanek

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Constrained Adaptive Weighted Particle Swarm Optimization (C-AWPSO) Algorithm for Dipping Fault Parameter Inversion by Shiquan Su, Juntao Liang, Chuang Xu, Feiyu Zhang, Hangtao Yu

“…In practical cases, the inversion accuracy of this method is improved by at least 64.4%, and the predicted gravity anomaly curve is closer to the observed data. The research findings are as follows: (1) The linearly decreasing inertia weight strategy performs best in terms of convergence efficiency and global search capability; (2) among the fault parameters, the top-layer center depth <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>z</mi></mrow></semantics></math></inline-formula> and bottom-layer center depth <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>w</mi></mrow></semantics></math></inline-formula> show higher sensitivity, and the inversion results for these parameters are more stable, which is beneficial for determining the depth information of faults; (3) introducing L2 regularization and penalty terms as constraints significantly improves the inversion stability, and among these, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>z</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>w</mi></mrow></semantics></math></inline-formula> have a particularly notable impact on the error.…”
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Huff-n-puff technology and parameter optimization of large displacement water injection in tight oil reservoir by ZHANG Yi, NING Chongru, CHEN Yazhou, JI Yulong, ZHAO Liyang, WANG Aifang, HUANG Jingjing, YU Kaiyi

“…For Well-A9, the optimal parameters were identified as a daily water injection rate of 900 m³ and a simmering time of 24 days. …”
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Photocatalytic performance of CuO NPs: An experimental approach for process parameter optimization for Rh B dye by Hridoy Saha, Ankita Dastider, Md Jannatul Ferdous Anik, Samiya Rahman Mim, Sovendo Talapatra, Utsha Das, Moniruzzaman Jamal, Md Muktadir Billah

“…Optimization of process parameters for photocatalytic activity measurement of CuO nanoparticles (NPs) was the focus of this study. …”
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