A Bi-criteria optimization model for adjusting the decision tree parameters by Mohammad Azad, Mikhail Moshkov

“… Decision trees play a very important role in knowledge representation because of its simplicity and self-explanatory nature. We study the optimization of the parameters of the decision trees to find a shorter as well as more accurate decision tree. …”
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Determination of optimal imaging parameters of hyperspectral images using the identification module by Chilikin Andrey, Pupin Daniil

“…Data processing of the planned experiment was carried out in the MatchCad 15 environment and the PlanExp B-D13 v.1.0 programme. To find the combination of factors giving the optimum value of the output parameter. …”
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Damage failure mode and parameter optimization of the connecting section of extendable grouting bolts by LIU Shaowei, ZHANG Weiyu, HE Deyin

“…The influence of connection length， thread pitch， and connector outer diameter on the strength and deformation capacity of the bolts was evaluated， leading to the identification of optimal parameter combinations.ResultsThe findings reveal three failure modes for the connecting segments： thread slip failure， connector pull-off failure， and bolt pull-off failure. …”
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Improving Parameter Estimation of Fuel Cell Using Honey Badger Optimization Algorithm by Rolla Almodfer, Mohammed Mudhsh, Samah Alshathri, Laith Abualigah, Laith Abualigah, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Khurram Shahzad, Mohamed Issa

“…The developed method depends on using the honey badger algorithm (HBA) as a new identification approach for identifying the parameters of the PEMFC. In the presented method, the minimal value of the sum square error (SSE) is applied to determine the optimal fitness function. …”
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A Strategy for Finding the Optimal Scale of Plant Core Collection Based on Monte Carlo Simulation by Jiancheng Wang, Yajing Guan, Yang Wang, Liwei Zhu, Qitian Wang, Qijuan Hu, Jin Hu

“…The results showed that coincidence rate of range (CR) was the most valid evaluating parameter and was suitable to serve as a threshold to find the optimal sampling percentage. …”
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Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function by Noah Schulhof, Pattara Sukprasert, Eytan Ruppin, Samir Khuller, Alejandro A. Schäffer

“…Integer linear programs (ILPs) and mixed integer programs (MIPs) often have multiple distinct optimal solutions, yet the widely used Gurobi optimization solver returns certain solutions at disproportionately high frequencies. …”
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A Novel Optimization Algorithm for Modifying the Parameter Unit of Solar PV Cell by V. Senthil Nayagam, S. Sanal Kumar, V. Thiyagarajan, Neel Kamal, N. Nisha, J. Samson Isaac, Adane Kassa

“…The modified whale optimization algorithm may also be used to evaluate parameters in single-diode models, double-diode models, and photovoltaic panels, as well as to find independent variables in two distinct methods of PV modules under various light temperature and pressure circumstances. …”
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Generalized Type-2 Fuzzy Approach for Parameter Adaptation in the Whale Optimization Algorithm by Leticia Amador-Angulo, Oscar Castillo, Patricia Melin, Zong Woo Geem

“…The initial idea is to improve the efficacy of the original WOA using a GT2FLS to find the optimal values of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mover accent="true"><mi mathvariant="bold-italic">r</mi><mo>→</mo></mover><mn mathvariant="bold">1</mn></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mover accent="true"><mi mathvariant="bold-italic">r</mi><mo>→</mo></mover><mn mathvariant="bold">2</mn></msub></mrow></semantics></math></inline-formula> parameters of the WOA, for the case of optimizing mathematical functions. …”
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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

“…Finding optimal parameters for detailed neuronal models is a ubiquitous challenge in neuroscientific research. …”
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Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems by Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu

“…In this study, twelve modified differential evolution algorithms with memory properties and adaptive parameters were proposed to address optimization problems. …”
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Machine Learning with Evolutionary Parameter Tuning for Singing Registers Classification by Tales Boratto, Gabriel de Oliveira Costa, Alexsandro Meireles, Anna Klara Sá Teles Rocha Alves, Camila M. Saporetti, Matteo Bodini, Alexandre Cury, Leonardo Goliatt

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Parameter Optimization and Experimental Study on Alfalfa Stem Flattening Process Based on DEM–MBD by Zhikai Yang, Keping Zhang, Jinlong Yang, Yaping Yao

“…Box–Behnken experimental design was employed to simulate the dynamic conditioning process, followed by regression analysis of the simulation results. The findings revealed optimal parameter combinations as follows: feeding amount of 5.10 kg/s, modulation roller speed of 686.87 r/min, and buffer spring preload force of 670.02 N. …”
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Optimizing CaO-based CO2 adsorption: Impact of operating parameters by Chengzhuang Zhang, Jia Fang, Zhiqiang Han, Peng Chen, Xilong Xu, Kejian Wang, Yunxi Shi, Jianxiong Liao

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Response surface optimization of co-hydrothermal carbonation parameters of municipal sludge and enteromorpha by ZHI Youwei, XU Donghai*, LIU Huanteng, XU Mingxin, ZHENG Peiyao

“…Through mathematical model optimization, the optimal conditions for achieving the highest ERE (0.470) and the lowest ECI (165.61) were determined to be 216 ℃, 83 minutes, and a 64% municipal sludge proportion, respectively. …”
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A Comparative Analysis of Hyper-Parameter Optimization Methods for Predicting Heart Failure Outcomes by Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada

“…This study presents a comparative analysis of hyper-parameter optimization methods used in developing predictive models for patients at risk of heart failure readmission and mortality. …”
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Gradient-based optimization for parameter identification of lithium-ion battery model for electric vehicles by Motab Turki Almousa, Mohamed R. Gomaa, Mostafa Ghasemi, Mohamed Louzazni

“…In the past few years, metaheuristic optimization approaches have developed as useful instruments for identifying and determining appropriate settings for parameters. …”
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Time Parameter Optimization for the Semiconductor Laser-Based Time-Delay Reservoir Computing System by Qiudi Li, Yushuang Hou, Keqiang Li, Xiaoyu Guo, Chunxia Hu, Dianzuo Yue

“…Shorter <i>τ</i> values (e.g., τ = 0.54<i>T</i>) enhance prediction accuracy, whereas longer <i>τ</i> values (e.g., τ = 1.74<i>T</i>) improve memory capacity. These findings provide valuable insights for optimizing time-delay RC systems, enabling better task-specific performance and stability.…”
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Research on Optimal Filter Chamber Thickness Parameters of New Vertical Filter Press by Jianxin WANG, Meng XIAO, Yuchen WANG, Zhiqiang DU, Bin LIU, Hongfeng YANG

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OPTIMIZATION OF INVESTMENT PARAMETERS IN THE FORMATION OF BEEF CATTLE HERDS BY THE METHOD OF EXPANDED REPRODUCTION by A. A. Satybaldin, M. V. Tamarovskij, V. N. Sivolap, I. A. Shinkarev

“…The aim of the research was to find optimal solutions for the use of investments in creating herds of beef cattle by the method of expanded reproduction and maintaining a high genetic status of animals.Processing of scientific and statistical material was carried out by the method of comparative analysis using benchmarking elements. …”
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Optimization of Structural Parameters and Cavitation Suppression in Control Valves Based on P-WOA by W. Li, S. Li, J. Hou, L. Yang, Y. Tian

“…The database is input into the P-WOA model for training to find optimal valve parameters. These solutions are then globally optimized by the WOA. …”
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