Research on optimization method for excavation sequence of deep chamber groups by ZANG Jincheng, LI Donghao, ZHANG Lu, SUN Lingfeng, HUANG Yubing

“…The evaluation and optimization method successfully identified the optimal excavation sequence for the deep chamber groups in Wanfu Coal Mine.…”
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Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank by Xinru Xue, Ting Shu, Jinsong Xia

“…To address these limitations, this paper proposes an automated hybrid metaheuristic algorithm generation method based on Learning to Rank (LTR-MHA). The LTR-MHA aims to achieve adaptive optimization of algorithm combination strategies by dynamically fusing the search behaviors of Whale Optimization (WOA), Harris Hawks Optimization (HHO), and the Genetic Algorithm (GA). …”
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Risk Assessment of Supplier R&D Investment Based on Improved BP Neural Network by Yinghua Song, Xiaoyan Sang, Zhe Wang, Hongqian Xu

“…By leveraging the ability of particle swarm optimization (PSO), whale optimization algorithm (WOA), and genetic algorithm (GA) to search for global optimal solutions, the BP neural network is improved to avoid becoming trapped in local optimal solutions and enhance the model’s generalization ability. …”
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PyPortOptimization: A portfolio optimization pipeline leveraging multiple expected return methods, risk models, and post-optimization allocation techniques by Rushikesh Nakhate, Harikrishnan Ramachandran, Amay Mahajan

“…Users can customize the pipeline at every step, from data acquisition to post-processing of portfolio weights, using their own methods or selecting from predefined options. Built-in Monte Carlo simulations help assess portfolio robustness, while performance metrics such as return, risk, and Sharpe ratio are calculated to evaluate optimization results. • The study compares various configured methods for each step of the portfolio optimization pipeline, including expected returns, risk-modeling and optimization techniques. • Custom Designed Allocator outperformed. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. Finally, the beluga whale optimization (BWO) technique alters the hyperparameter range of the TPA‐BiGRU model optimally and results in greater classification performance. …”
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Recent Advances in Optimization Methods for Machine Learning: A Systematic Review by Xiaodong Liu, Huaizhou Qi, Suisui Jia, Yongjing Guo, Yang Liu

“…This systematic review explores modern optimization methods for machine learning, distinguishing between gradient-based techniques using derivative information and population-based approaches employing stochastic search. …”
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Fast-converging decentralized alternating direction method of multipliers for consensus optimization by Jeannie He, Ming Xiao, Mikael Skoglund

“…Abstract For its well-established convergence properties, simplicity, and applicability to various optimization problems, the alternating direction method of multipliers (ADMM) has been at the center of several research fields. …”
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Automatic seismic-well tie based on cascaded matching optimization method by Mengcheng Li, Xuri Huang, Xuri Huang, Weiping Cao, Yukai Wo, Minghua Xu, Mengyu Ren, Shunkang Lu

“…To overcome these challenges, we propose the cascaded matching optimization method. This method decomposes the time shifts calculation into two steps: first, smooth time shifts are determined using local similarity scan while preserving waveform characteristics to perform an initial correction; second, the corrected synthetic trace is refined to account for residual shifts. …”
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Topology optimization of plane trusses using the progressive directional selection method by Nayro Silva Noronha Cavalcante, Luiz Carlos Lima Véras, Márcio André Araújo Cavalcante

“…The Theory of Natural Selection of the directional type inspires the topological optimization method proposed in this work. The Progressive Directional Selection (PDS) method aims to optimize a structure by selectively removing parts that contribute the least to supporting mechanical loads in different stages while retaining those that contribute the most. …”
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Nonlinear comprehensive evaluation method based on information entropy and discrimination optimization by Xu Guanjun, Zeng Xijun

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THE METHOD OF OPTIMIZATION OF THE SET OF TECHNICAL FACILITIES TO PROVIDE AVIATION SAFETY AND SECURITY by B. V. Zubkov, A. K. Volkov, A. K. Volkov

“…The actuality of problem of optimizing the set of technical facilities to provide aviation safety and security is determined by the necessity to develop aviation security provision system taking into account the analysis of threats while ensuring balance between expenses on security support and possible damage from the act of unlawful interference.The offered method of optimization consists of two main stages: determination of the optimal total expenses and determination of the optimal set of technical facilities.The first stage is devoted to analysing the threats and solving the task of optimization of total expenditures on the technical aids set used to ensure aviation safety and security which means searching for the minimum of total expenses goal function. …”
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Dynamic Collaborative Optimization Method for Real-Time Multi-Object Tracking by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…Experiments conducted on multiple public datasets, including MOT17, MOT20, and VisDrone-MOT, demonstrate that this method remarkably improves tracking accuracy while maintaining real-time performance. …”
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A method for parameterized design and rapid optimization of axial flow pumps by Kan Kan, Ye Li, Huixiang Chen, Siqi Gao, Jinbo Chen

“…To design a high-specific-speed axial flow pump with excellent hydraulic performance, this study comprehensively improves the hydraulic performance of the axial flow pump unit using a two-stage iterative orthogonal parameter optimization method while meeting the design requirements. …”
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Avoiding Mistakes While Writing Scientific Manuscripts In Health Sciences by Faddi Ghassan Saleh Velez, Camila Pinto Bonin, Maria Regina Chalita, Denise Pinheiro Falcão, Felipe Fregni, Rivadávio Fernandes Batista de Amorim

“…OBJECTIVE: To address common mistakes that researchers commit while writing a manuscript, in order to understand and optimize the process of writing a new research paper. …”
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Sustainable Optimization of the Injection Molding Process Using Particle Swarm Optimization (PSO) by Yung-Tsan Jou, Hsueh-Lin Chang, Riana Magdalena Silitonga

“…Together, this hybrid approach achieves what neither method could accomplish alone: the BPNN accurately models the intricate process-quality relationships, while PSO rapidly converges on optimal parameter sets that simultaneously meet strict quality targets (66–70 g weight, 3–5 mm thickness) and minimize energy consumption. …”
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Multi-UAV Trajectory Planning Based on a Two-Layer Algorithm Under Four-Dimensional Constraints by Yong Yang, Yujie Fu, Runpeng Xin, Weiqi Feng, Kaijun Xu

“…In the lower layer path planning stage, considering the limitations of the whale optimization algorithm (WOA), such as slow convergence, low precision, and susceptibility to local optima, this study integrates a backward learning mechanism, nonlinear convergence factor, random number generation strategy, and genetic algorithm principle to construct an improved IWOA. …”
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A Gradient Enhanced Efficient Global Optimization-Driven Aerodynamic Shape Optimization Framework by Niyazi Şenol, Hasan U. Akay, Şahin Yiğit

“…In the single-point optimization, the GEK method achieved the highest drag reduction, outperforming other approaches, while in the multi-point case, GEKPLS provided the best overall improvement. …”
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Enhancing NUE in Corn Through Optimized Sensor-Based Prescription Maps by Salman Mirzaee, Ali Mirzakhani Nafchi

“…Enhancing nitrogen use efficiency (NUE) through optimized application methods can benefit agronomic productivity and environmental sustainability. …”
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A Bionic-Based Multi-Objective Optimization for a Compact HVAC System with Integrated Air Conditioning, Purification, and Humidification by He Li, Bozhi Yang, Xinyu Gu, Wen Xu, Xuan Liu

“…The research focuses on achieving a balance between performance, energy consumption, and noise levels by combining bionic design principles with advanced optimization algorithms to propose innovative design and optimization methods. …”
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Research on Nonlinear Error Compensation and Intelligent Optimization Method for UAV Target Positioning by Yinglei Li, Qingping Hu, Shiyan Sun, Wenjian Ying, Xiaojia Yan

“…Simulation experiments show that the positioning error distance of the KYCOA is reduced by 66.75%, 41.89%, and 62.06% when compared with that of the original Coati Optimization Algorithm (COA), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA), respectively. …”
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