Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system by Suyash S. Satpute, Amol C. Adamuthe, Pooja Bagane

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Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL by Yuntao Hu, Ming Chen, Haowen Sun, Yinlu Wang, Yihan Cang

“…The energy consumption minimization is achieved by jointly optimizing the task offloading proportions, transmit power allocations, and computational resource distributions while ensuring the overall deadline constraints and the minimum processing size requirements in each scheduling cycle. …”
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Optimization of strutted beam parameters by A. K. Yusupov, H. M. Musеlеmov, T. O. Ustarhanov

“…The objective of the research is to design strutted beams that have optimal parameters for metal consumption.Methods. …”
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Evaluation of biokinetics and dosimetry in [131I]-NaI therapies: whole-body images quantification versus lower limb region by Bianca Lemos Lima, Jamille da Silveira Almeida, Maria da Penha Albuquerque Potiens, Rogério Alexandre Pelissoni, Marcelo Tatit Sapienza, Carlos Alberto Buchpiguel, José Willegaignon

“…It has been observed that the absorbed dose values provided by thigh region dosimetry represent 87% of the absorbed dose value provided by whole-body dosimetry. Supposing the percentage difference between the values obtained by both dosimetric methods, it was possible to find a average correction factor that can be applied to the dosimetry data based on ROI in the thigh region, making dose values absorbed to become similar in the two dosimetric methods. …”
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Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks by S. V. Malakhov, M. Yu. Kapustin

“…Adequacy check is not part of the known methods of optimal control theory. To eliminate this drawback, it is proposed to use the method of optimal (suboptimal) traction calculations based on artificial neural networks. …”
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Mechanisms and Intermediate Outcomes of a Community Translation to Adapt a Whole Family-Inclusive Lifestyle Intervention: A Pilot Evaluation by Megan J. Moran, Kimberly Padilla, Abby Neiser, Nicole Clark, Virginia Jimenez, Natalia Sanchez, Talia Thompson, Ana M. Gutierrez-Colina, Jesse Owen, Chesleigh Keene, Matthew A. Haemer, Lauren B. Shomaker

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From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…Among the 72 models combining nine feature selection methods and eight machine learning classifiers, the optimal model combination achieved discriminative performance with an average area under the curve (AUC) of 0.615 over 100 iterations under five‐fold cross‐validation. …”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…The improvement in the average best optimal value varies across different cases, demonstrating the effectiveness of the proposed method. …”
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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…These findings affirm the potential of mHLOA as a powerful optimization framework for advanced feature selection and complex optimization problems.…”
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Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review by Bin Huang, Wenbin Yu, Minrui Ma, Xiaoxu Wei, Guangya Wang

“…The core of HEV efficiency lies in the Energy Management Strategy (EMS), which regulates the energy distribution between the internal combustion engine and the electric motor. While rule-based and optimization methods have formed the foundation of EMS, their performance constraints under dynamic conditions have prompted researchers to explore artificial intelligence (AI)-based solutions. …”
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Development of Eccentric Transmitter Transducer for LWD Acoustic Remote Detection by SUN Zhifeng, QIU Ao, LIU Xien, LUO Bo, LI Jie, ZHAO Han

“…To address the challenge that traditional logging while drilling (LWD) acoustic transducers lack directional radiation capability, hindering the identification of geological structures outside the borehole in drilling environments, this study developed an eccentric transmitter transducer transducer with directional radiation functionality. …”
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Multi-Objective Vibration Control of a Vehicle-Track-Bridge Coupled System Using Tuned Inerter Dampers Based on the FE-SEA Hybrid Method by Xingxing Hu, Qingsong Feng, Min Yang, Jian Liu

“…To address the adverse effects of Tuned Inertia Dampers (TIDs) on track slab vibrations while controlling high-frequency rail vibrations, a hybrid Finite Element-Statistical Energy Analysis (FE-SEA) method is developed for modeling the vehicle-track-bridge coupled system. …”
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Characteristics and Outcomes of People With COPD Who Experience Exacerbations While on Inhaled Triple Therapy: Results of the SIRIUS I Cohort Study in the US (2015–2019) by Nordon C, Carstens D, Fagerås M, Müllerová H, Veeranki PS, Alves JA, Germack HD, Barnes TL, McCormack MC

“…During the 12-month follow-up, mean (SD) all-cause and COPD costs were $63,178 ($77,061) and $26,153 ($47,085), respectively.Conclusion: There is high mortality and considerable HCRU and healthcare costs incurred by people with COPD experiencing frequent moderate/severe exacerbations while on TT. Optimization of COPD management and new therapies are needed to reduce disease burden in this population.Keywords: COPD, burden of illness, exacerbation, inhaled triple therapy, mortality, healthcare resource utilization…”
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Development of a four autophagy-related gene signature for active tuberculosis diagnosis by Baoyan Ren, Feng Jia, Qixun Fang, Jingping Xu, Jingping Xu, Kangfeng Lin, Kangfeng Lin, Renhui Huang, Zhenqiong Liu, Xingan Xing, Xingan Xing

“…RT-qPCR validation in whole blood samples confirmed elevated expression in ATB, while an SVM model achieved promising differentiation (AUC 0.86 for ATB vs. …”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…This paper presents a novel collaborative data processing framework that enhances anomaly detection in ICS by integrating the Grey Wolf Optimizer with Autoencoders. The proposed approach optimizes GWO by improving prey selection, encircling mechanisms, and initial population generation, while enhancing AE dropout functionality for improved model generalization. …”
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Optimal Design of Multiband Microstrip Antennas by Self-Renewing Fitness Estimation of Particle Swarm Optimization Algorithm by Xiaohong Fan, Yubo Tian, Yi Zhao

“…The optimized results show that the purpose of rapid optimization can be achieved while ensuring the design accuracy.…”
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Dynamic changes in aroma of large-leaf yellow tea during the whole processing at an industrial scale: From fresh leaf to finished tea by Jing Wang, Yuemeng Hu, Zhenyu Guan, Ronggang Zhai, Jieyao Yu, Marina Rigling, Yanyan Zhang, Xiaochun Wan, Xiaoting Zhai

“…In contrast, floral compounds like geraniol and linalool declined progressively, while pyrazines were mainly generated during the final roasting and increased with roasting intensity. …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

“…The proposed GWO-PID method overcomes these limitations by leveraging the GWO algorithm’s global search capability to dynamically optimize the PID gains (Kp, Ki, Kd) based on a composite fitness function that minimizes Mean Squared Error (MSE) and THD. …”
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Colonial bacterial memetic algorithm and its application on a darts playing robot by Szilárd Kovács, Csaba Budai, János Botzheim

“…This combination of natural and artificial evolutionary elements results in a robust algorithm capable of handling complex challenges in robotics, such as constraints, multiple objectives, large search spaces, and complex models, while delivering fast and accurate solutions. CBMA incorporates features like multi-level clustering, dynamic gene selection, hierarchical population clustering, and adaptive co-evolutionary mechanisms, enabling efficient management of task-specific parameters and optimizing solution quality while minimizing resource consumption. …”
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Optimization of the Process of Selection of Software in the Organization by A. Yu. Lukyanenko

“…The significance of the research results is due to the lack of widely available methods in open access for the optimal selection of software as a tool, not related to involving external agents in the process and having the necessary scalability to use them, including collective, in organizations. …”
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