A graph transformer with optimized attention scores for node classification by Yu Zhang, Xin Li, Yaoqun Xu, Xitong Xu, Zhe Wang

“…Specifically, we propose an end-to-end attention score optimization loss function, designed to suppress noisy connections and enhance the connection weights between similar nodes. …”
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Rolling Bearing Fault Diagnosis Based on Optimized VMD and SSAE by Baoxian Chang, Xing Zhao, Dawei Guo, Siyu Zhao, Jiyou Fei

“…Firstly, the DBO algorithm is enhanced to improve its optimization precision and global optimization capability. …”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The article presents an adaptive genetic algorithm developed by the authors, which makes it possible to optimize the topology of a power network with distributed generation. …”
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Lorenz-PSO Optimized Deep Neural Network for Enhanced Phonocardiogram Classification by Awais Mahmood, Mousa Alhajlah, Habib Dhahri, Abdulaziz Almaslukh

“…The suggested approach is reliable since fitness value, loss function, and statistical measures are profiled on 100 independent runs. …”
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A microscopic image stitching algorithm with improved energy function by WANG Jiang’an, LIANG Wenqian, HUANG Le, QIN Linzhen

“…Secondly, an improved energy function was designed and combined with the dynamic planning technique to effectively search for the optimal suture line in the overlapping region. …”
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Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

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Effects of Reliability Index on Optimal Configuration of Hybrid Solar/Battery Energy System by Optimization Approach: A Case Study by Hao Liu, Baojia Wu, Akbar Maleki, Fathollah Pourfayaz, Roghayeh Ghasempour

“…The optimal configurations of hybrid systems are compared in respect of different losses of load probability (0 to 20%). …”
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Optimized Control of Hybrid Energy Storage Systems Using Whale Optimization Algorithm for Enhanced Battery Longevity and Stability in Microgrids by Nouman Alam Siddiqui, Hira Tahir, Muhammad Akram, Habib Ullah Manzoor

“…The method optimizes two key variables: current sharing coefficients and the smoothing constant, enabling continuous HESS functionality. …”
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Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek

“…For this study, the OPF problem was developed as a Multi-Objective Optimization (MOO) problem with the following objectives such as active power loss, emissions and generation cost. …”
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OPTIMAL REACTIVE POWER FLOW SOLUTION OF 400-132 KV ELECTRIC NETWORKS OF IRAQ IN THE SOFTWARE PACKAGE RastrWin3 by A. Hussein, M. Zhukov, Y. Kononov

“…It is shown that the main effect is achieved by reducing losses in 132 kV lines. It is established that the network Q/V optimization module in the RastrWin3 does not take into account the change in transformer no-load losses and corona losses in overhead lines in the optimized function, which requires additional research to study their impact on optimization results.…”
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Effective Compression and a Minimally Invasive Rail Plate to Optimize Bone Transport in Distraction Osteogenesis by E. López-Carreño, MD, E.P. López Avendaño, MD, L. Padilla Rojas, MD, A.Y. Martínez-Castellanos, MSc, I. Arámbula Rodríguez, MD, C. García López, MD, H. Campos Huerta, MD, L. Flores Huerta, MD

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YOLO-WWBi: An Optimized YOLO11 Algorithm for PCB Defect Detection by Yi Zhao, Zhidi Jiang

“…Then, BiFPN is integrated into the neck to enhance the quality of fused features and deepen the interaction of feature information. Finally, the WIoU loss function was employed to optimize the localization performance of defect positions, thereby enhancing robustness in highly similar PCB background interference. …”
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Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…To address the challenges posed by big data or the restrictions of privacy, we propose a method utilizing Poisson subsampling to devise a new loss function. Under certain assumptions, this method satisfies the condition of asymptotic normality. …”
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A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…The optimizer focuses on the updating weights of momentum and velocity on learning rates and losses, furthermore the complexity of the optimizer and the quantity of updated parameters are considered. …”
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An Adapted Ant Colony Optimization for Feature Selection by Duygu Yilmaz Eroglu, Umut Akcan

“…The aim of feature selection is to address this complexity by reducing data dimensions with minimal information loss. Our proposed feature selection approach, the Feature Selection via Ant Colony Optimization algorithm, employs heuristic distance directly in its probability function, instead of using its inverse. …”
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Optimization of Visual Information Presentation for Visual Prosthesis by Fei Guo, Yuan Yang, Yong Gao

“…Visual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects. However, due to the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information occurred when presenting daily scenes. …”
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Optimal Controls of the Highly Active Antiretroviral Therapy by Ellina V. Grigorieva, Evgenii N. Khailov, Andrei Korobeinikov

“…In this paper, we study generic properties of the optimal, in a certain sense, highly active antiretroviral therapy (or HAART). …”
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Promoting mental health for optimal performance in sports by Alexander Schorb, Ulf Häfelinger, Marek Pesicka, Simon Kohl, Felix Karus, Andreas Kaiser, Günter Schiepek, Wolfgang Aichhorn

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The Optimized Design and Principal Analysis of a Toe-End Sliding Sleeve by Wei Li, Fulu Chen, Mengyu Cao, Huan Zhao, Wangluo Ning, Tianchi Ma, Mingxiu Zhang

“…Conventional toe-end sliding sleeve in shale oil wells have problems with premature opening and a failure to open, which means they cannot ensure the whole-well pressure test process and can cause serious economic losses to the oil and gas industry. In order to solve the above problems, a new type of optimal design for toe-end sliding sleeve with a 30 min delayed opening is proposed. …”
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Smart deep learning model for enhanced IoT intrusion detection by Faisal S. Alsubaei

“…This superb performance of the OSNN model can be explained by the careful optimization of hyperparameters like strong activation functions (ReLU, GeLU, LeakyReLU), learning rates, dropout rates, and regularization techniques that enable it to learn intricate intrusion patterns efficiently using various datasets. …”
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