An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process by Wen-Chin Chen, An-Xuan Ngo, Jun-Fu Zhong

“…The system integrates advanced optimization techniques, including the Taguchi method, analysis of variance (ANOVA), back-propagation neural network (BPNN), and a hybrid particle swarm optimization–genetic algorithm (PSO-GA) approach to identify optimal process parameters. …”
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Impact of ISTA and FISTA iterative optimization algorithms on electrical impedance tomography image reconstruction by Nguyen Diep Quoc Tuan, Huynh Hoang Nhut, Ven Huynh Thanh, Cao Dinh Minh Quan, Tran Anh Tu, Tran Trung Nghia

“…The paper concludes that while ISTA and FISTA significantly enhance EIT image reconstruction performance, the quality of the reconstructed images heavily depends on the choice of regularization methods and parameters, which are crucial to the reconstruction process.…”
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Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques by Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun

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Data-driven and physics-constrained acoustic holography based on optimizer unrolling by Pagavino Manuel, Zotter Franz

“…Unique solutions are obtained by optimizing a cost function that targets an approximate solution obeying the laws of physics while simultaneously satisfying constraints that represent prior knowledge characterizing the expected result. …”
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Optimization of Sensor Positions and Orientations for Multiple Load Case Scenarios by Wacław Kuś, Waldemar Mucha, Iyasu Tafese Jiregna

“…This paper focuses on optimizing sensor placement in structures for load monitoring applications. …”
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Comprehensive Benefit Evaluation for Prefabricated Buildings Based on NSGA-II and Simulated Annealing Optimization Projection Pursuit Method by Fang Wang, Binbin Dai, Shiyu Song

“…The results indicate that: (1) the optimal projection eigenvalue of the comprehensive benefit evaluation is 1.860, and applying this method to evaluate the comprehensive benefits of prefabricated buildings yields more comprehensive and objective results; (2) the best projection vector values are ENB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.9944) &#x003E; SB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.9422) &#x003E; EB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.0272), indicating that environmental benefits have the greatest impact on the projection eigenvalue of comprehensive benefits, while economic benefits have the least impact; (3) there is a certain positive correlation between economic benefits and social benefits, while there is a certain negative correlation with environmental benefits.…”
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A novel transcendental metaphor metaheuristic algorithm based on power method by Huiying Zhang, Hanshuo Wu, Yifei Gong, Xiao Pan, Qipeng Zhong

“…Abstract This paper proposes a novel metaheuristic algorithm-the Power Method Algorithm (PMA), which is inspired by the power iteration method to solve complex optimization problems. …”
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Design approach for optimization of a piston ring profile considering mixed lubrication by Zhinan Zhang, Jun Liu, Youbai Xie

“…Abstract To reduce the friction of a piston ring while maintaining a large oil film load-carrying capacity, an approach comprising of the inverse method and the sequential quadratic programming algorithm was proposed. …”
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Optimal root pruning to promote growth and water use efficiency of rice seedlings by ZHU Mei, HU Chenfan, LIU Shuoshuo, LIN Shimiao, LIU Jingzhe

“…As agriculture consumes approximately 62% of global water, optimizing agricultural water use is essential for sustainable resource management. …”
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A study on the prediction of mountain slope displacement using a hybrid deep learning model by Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang

“…Abstract To address the challenges of large prediction errors and limited reliability in conventional modeling approaches, this study proposes a hybrid framework that integrates optimization and deep learning techniques. The method employs an Improved Whale Optimization Algorithm (IWOA) to fine-tune parameters for GNSS data fitting, ensuring accurate signal feature extraction. …”
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Performance Optimization of Grounding System for Multi-Voltage Electrical Installation by Md Tanjil Sarker, Marran Al Qwaid, Md Sabbir Hossen, Gobbi Ramasamy

“…Results indicate that soil resistivity significantly affects grounding efficiency, with deep-driven rods providing superior performance in high-resistivity conditions, while grounding grids demonstrate enhanced fault current dissipation in substations. …”
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Optimization location routing problem (LRP) of humanitarian aid distribution in Sigi district using NSGA II methods by Serli Bombang, Bonivasius Prasetya Ichiarto, Humiras Hardi Purba

“…It utilizes the NSGA-II algorithm for multi-objective optimization and the Displaced Ideal Solution (DIS) method to select the best solution from the Pareto front.…”
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Exploration of clinical pathway practice for optimization of DRG costing results based on resource consumption by Shu Qian Wu, Xiao Cui Wang, Andrew D. Boyd, Dan Feng, Min Zhong, Dandan Nie

“…Abstract Background China’s Diagnosis-Related Groups (DRGs) payment reform focuses on clinical pathway standardization and cost accounting to optimize resource use. Mengchao Hepatobiliary Hospital (MC Hospital), a tertiary care institution and DRG pilot site, implemented a “double helix model” integrating cost accounting with clinical pathway optimization. …”
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Entire aerial-aquatic trajectory modeling and optimization for trans-medium vehicles by Teng Long, Nianhui Ye, Baoshou Zhang, Jingliang Sun, Renhe Shi

“…After optimization, the total flight range can be improved by 20%, while all the constraints are satisfied. …”
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An Experimental Study of Structural Identification of Bridges Using the Kinetic Energy Optimization Technique and the Direct Matrix Updating Method by Gwanghee Heo, Joonryong Jeon

“…In this study, the kinetic energy optimization technique (KEOT) was utilized to determine the optimal measurement locations, while the direct matrix updating method (DMUM) was utilized for FE model updating. …”
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Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards by Ruipeng Tang, Jianxun Tang, Mohamad Sofian Abu Talip, Narendra Kumar Aridas, Binghong Guan

“…This study proposes an AI-powered drone-based pollination method for complex durian orchards, integrating improved object detection and optimized path planning. …”
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An Efficient Algorithm for Resource Allocation in Mobile Edge Computing Based on Convex Optimization and Karush–Kuhn–Tucker Method by Kaijing Wang, Shelily F. Akhtar, Fahad Ahmed Al-Zahrani

“…Then, the near-optimal solution is determined from the subproblems through convex optimization and Karush–Kuhn–Tucker method. …”
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An optimal integrated control strategy of urban expressway and adjacent signalized intersection with rolling horizon framework in MPC method. by Linghui Xu, Yuan Zheng, Shuichao Zhang, Longjian Wang, Xinke Fan

“…To enhance traffic system operation, this paper proposes an optimal integrated control strategy based on the model predictive control (MPC) method. …”
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A novel fault diagnosis method for gearbox based on RVMD and TELM with composite chaotic grey wolf optimizer by Xuebin Huang, Anfeng Xu, Hongbing Liu, Bingcheng Ye

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Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization by Kailun Ji, Ping Wang, Yinliang Jia

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