Controllability Analysis and Optimization of Hydrocannon Nozzle Shape Based on Direct Extreme Approach by V. K. Tolstykh, Yu. V. Dmitruk

“…Controllability analysis is a required stage for the correct formulation and solution of any optimal control problem. This problem becomes specifically relevant in the context of optimizing systems with distributed parameters, which are described by partial difference equations. …”
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Dialing the glenosphere eccentricity posteriorly to optimize range of motion in reverse shoulder arthroplasty by Stefan Bauer, MD, Arnaud Meylan, MD, Jaad Mahlouly, MD, Wei Shao, MD, William G. Blakeney, MBBS, MSc, MS, FRACS

“…The primary objective of this study was to investigate different positions of glenosphere ECC to determine whether there is an optimal position for impingement-free range of motion. …”
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A Sparse Optimization Approach for Energy-Efficient Timetabling in Metro Railway Systems by Ziyan Luo, Xiaoyu Li, Naihua Xiu

“…The resulting approach is applied to Beijing Metro Yizhuang Line with different instances of service for case study. Comparison with the existing two-step linear program approach is also conducted which illustrates the effectiveness of our proposed sparse optimization model in terms of the energy saving rate and the efficiency of our numerical optimization algorithm in terms of computational time.…”
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THE SPECIATION IN GENETIC ALGORITHMS FOR PRESERVING POPULATION DIVERSITY AND OPTIMIZATION OF FUNCTIONS WITH SUBOPTIMAL SOLUTIONS by V. Pretsel, Roman Shuvar

“…Genetic algorithms are used in various tasks and show advantages compared to other optimization methods, which may not always be applicable. …”
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Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory. by Heshuai Shen

“…Multi-objective production scheduling faces the problems of inter-objective conflicts, many uncertainty factors and the difficulty of traditional optimization algorithms to deal with complexity and ambiguity, and there is an urgent need to introduce the theory of fuzzy mathematics in order to improve the scheduling efficiency and optimization effect. …”
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Rapid mold optimization based on ultraviolet curing 3D printing technology by Hanyu Rao, Xinyu Bai, Wen Yan, Jie Liu

“…During the single-peak Schwefel function test, the modified PSO method displayed greater optimization capabilities, achieving convergence in around 40 iterations. …”
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Applied research note: Optimized corticosterone extraction following feather dissolution by keratinase by Nikolas R. Faust, Rosemary L. Walzem

“…No significant correlation was found between plasma and feather CORT concentrations, underscoring the potential of feather sampling for long-term, as opposed to acute, stress assessment in poultry. This optimized method provides a valuable tool for animal welfare studies, enabling accurate and consistent measurement of feather CORT levels across different poultry strains and conditions.…”
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Whale Algorithm for Schedule Optimization of Construction Projects Employing Building Information Modeling by S. M. Golmaei, J. Vahidi, Morteza Jamshidi

“…ABSTRACT This study introduces a new approach by applying the Whale Optimization Algorithm (WOA) to create construction schedules using geometric data from Building Information Modeling (BIM). …”
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Research on the Optimization of Cross-Border Logistics Paths of the “Belt and Road” in the Inland Regions by Feng-Jie Xie, Ruo-Chen Feng, Xue-Yan Zhou

“…Taking logistics time, logistics cost, and carbon emissions as optimization objectives, air transportation is included in the cross-border logistics paths optimization of multimodal transportation. …”
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Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Several studies have employed deep learning (DL) or machine learning (ML) methods; no significant difference in performance between the two methods has been demonstrated. …”
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Optimization of Frequency Control Parameters of Wind Farms Considering Inertia Security Requirement by LI Hongxin, ZHONG Zuhao, LU Yi, WEN Yunfeng

“…The results show that the proposed parameter optimization method effectively improves the transient frequency response process of wind farms, which helps enhance the frequency stability margin of the system.…”
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Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

“…To address this issue, this paper proposes a method for optimizing railway obstacle detection models based on zero-cost neural architecture search. …”
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Dynamic Multiobjective Optimization Algorithm Based on Average Distance Linear Prediction Model by Zhiyong Li, Hengyong Chen, Zhaoxin Xie, Chao Chen, Ahmed Sallam

“…Nowadays the common way to solve dynamic multiobjective optimization problems (DMOPs) is to utilize history information to guide future search, but there is no common successful method to solve different DMOPs. …”
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STATIC AND DYNAMIC CHARACTERISTICS ANALYSIS AND OPTIMIZATION OF ELECTRIC WHEEL DUMP TRUCK FRAME by MI ChengJi, LI WenTai, NI ZhengShun, XIAO XueWen, YANG QinQuan, XIAO YuePeng, WANG MengLong

“…The results can be illustrated that the stiffness of the frame under the ultimate torsion condition has some room for improvement to avoid frame failure.Therefore,the multi-objective optimization design for the frame stiffness under different conditions was carried out by utilizing topological optimization technology. …”
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Quality control methods for Aedes albopictus sterile male production. by Fabrizio Balestrino, Arianna Puggioli, Marco Carrieri, Jérémy Bouyer, Romeo Bellini

“…These simple and cost-effective tools provide a valuable method to detect and amend potentially sub-standard procedures in the sterile male production line and hence contribute to maintaining optimal quality and field performance of the mosquitoes being released.…”
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Optimizing Inventory Costs in Manufacturing Systems Using Trapezoidal and Pentagonal Fuzzy Numbers by Prasantha Bharathi Dhandapani, Kalaiarasi Kalaichelvan, Soundaria Ramalingam, Mohamed Biomy, Taha Radwan

“…In the suggested model, the graded mean integration representation method is used to describe defuzzification while trapezoidal and pentagonal fuzzy numbers are used to calculate the optimal cost though there are different types of fuzzy numbers available that are used to test the optimality. …”
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Trajectory Optimization for UAV-Aided IoT Secure Communication Against Multiple Eavesdroppers by Lingfeng Shen, Jiangtao Nie, Ming Li, Guanghui Wang, Qiankun Zhang, Xin He

“…Simulation results demonstrate the UAV’s trajectory fluctuations under different parameters, affirming that trajectory optimization significantly improves PLS performance in IoT systems.…”
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Prediction of loess collapsibility coefficient using bayesian optimized random forest model by Wan Zhang, Jiangtao Guo, Zhaopeng Li, Ruifang Cheng, Cuiping Ning, Hongfeng Niu, Ze Liu

“…Therefore, in this study, Bayesian optimization was employed to fine-tune the hyperparameters of six different regressors, and the performance of these models was evaluated on both a training set and an independent testing set. …”
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Optimization of Air Flow Pattern for Leakage of Ammonia Gas in a Refrigerator Room by Zhang Qianru, Zhang Xu, Ye Wei, Zhao Wenxuan, Zhi Chengqiang, Huang Yixiang, Ma Jin

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Parametric optimization of the slot waveguide characteristics using a machine-learning approach by Yadvendra Singh, Suraj Jena, Harish Subbaraman

“…Thus, providing a useful ML methodology for efficient optimization of slot waveguide structures for future applications.…”
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