Comparative Analysis of Dedicated and Randomized Storage Policies in Warehouse Efficiency Optimization by Rana M. Saleh, Tamer F. Abdelmaguid

“…Conversely, results from large-size instances indicate that D-SLAP surpasses R-SLAP in optimizing waiting time and tardiness objectives, while R-SLAP achieves lower transportation cost.…”
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Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management by Felicia Lim Xin Ying, Suliadi Firdaus Sufahani

“…The research aims to explore the application of metaheuristic algorithms, with the Modified Distribution (MODI) method as the benchmark while employing the NorthWest Corner Method (NWCM) to obtain an initial feasible solution, to evaluate their performance in optimizing transportation problems. …”
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Optimal nutritional status assessment parameters in gastroenterological patients on hospital admission by Roganović Branka, Perić Saša, Tarabar Dino

“…There are no recommendations for the optimal nutritional status assessment parameters (NSAPs) in the current literature. …”
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Efficient approach for optimizing couplers in traveling-wave accelerating and deflecting structures by Zhicheng Huang, Yelong Wei, Zexin Cao, Li Sun, Yihao Zhang, Chengzhe Wang, Zishuo Zhang, Guangyao Feng, Luigi Faillace, David Alesini

“…This approach is based on a new criterion |R_{c}|→0 and an equivalent circuit model to facilitate fast and accurate optimizations. By using this new approach, the optimizations on couplers for any TW structures with arbitrary starting dimensions can converge in just several iterations, significantly simplifying the overall design process while maintaining a high accuracy.…”
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Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach by David Carrascal, Paula Bartolomé, Elisa Rojas, Diego Lopez-Pajares, Nicolas Manso, Javier Diaz-Fuentes

“…This process should minimize power losses while optimizing distribution by balancing loads across the grid. …”
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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…This research looks into the Orca Predation Algorithm, an optimization method based on biology that can solve the Economic Dispatch problem for systems with 6, 13, or 15 producing units. …”
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Optimization of the viability PCR for accurate detection of Staphylococcus aureus in food samples. by Mai Dinh Thanh, Gemma Agustí, Anneluise Mader, Francesc Codony

“…The detection of S. aureus during routine quality control is still primarily conducted using traditional culture-based methods, which are time-consuming and unable to detect viable but non-culturable cells. …”
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Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? by Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian

“…While Adaptive SAM improves generalization of convolutional neural networks, it fails to do so for vision transformers. …”
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A hybrid optimization approach for accelerated multimodal medical image fusion. by Chisom Ezinne Ogbuanya, Adaora Obayi, Souad Larabi-Marie-Sainte, Amal O Saad, Lamia Berriche

“…Multimodal medical image fusion is a multi-objective due to the need of balancing factors like the weights of the fusion rules and the speed of the fusion process. While multi-objective particle swarm optimization has already been applied to solve this problem, it suffers from premature. …”
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Research on performance optimizations for TCM-KNN network anomaly detection algorithm by LI Yang1, GUO Li1, LU Tian-bo3, TIAN Zhi-hong1

“…Based on TCM-KNN（transductive confidence machine for K-nearest neighbors） algorithm,the filter-based feature selection and cluster-based instance selection methods were used towards optimizing it as a lightweight network anomaly detection scheme,which not only reduced its complex feature space,but also acquired high quality instances for training.A series of experimental results demonstrate the two methods for optimizations are actually effective in greatly reducing the computational costs while ensuring high detection performances for TCM-KNN algorithm.Therefore,the two methods make TCM-KNN be a good scheme for a lightweight network anomaly detection in practice.…”
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Hybrid MPPT Strategy: Optimizing SEIG Performance in Wind Energy Installation by Fadi Ouafia, Abbou Ahmed, Gaizen Soufiane

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Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads by Peng Peng, Langchao Gao, Jiachun Li, Hongzhen Zhang

“…The algorithm enhances detection performance through the following optimizations: (1) integrating a lightweight DeepLabv3+ road segmentation module at the input stage to generate mask images, which effectively exclude non-road regions from interference; (2) replacing Conv convolution units in the backbone network with Ghost convolution units, significantly reducing model parameters and computational cost while improving inference speed; (3) introducing the CPCA (Channel Priori Convolution Attention) mechanism to strengthen the feature extraction capability for targets with diverse shapes; and (4) incorporating skip connections and weighted fusion in the Neck feature extraction network to enhance multi-scale object detection. …”
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Robust Optimal Design of SPMSM Considering Manufacturing Tolerances of Permanent Magnets by Jae-Hyeon Yeo, Jun-Kyu Kang, Jin Hur

“…Subsequently, robust optimization was performed using the Taguchi method based on the design of experiments (DOE).…”
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Sensor placement optimization for critical-grid coverage problem of indoor positioning by Hui Wu, Zhe Liu, Jin Hu, Weifeng Yin

“…As a conclusion, the proposed method could reduce the cost of sensor deployment while ensuring the accuracy of indoor positioning for critical areas. …”
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Cooperative Control of Interconnected Air Suspension Based on Energy Consumption Optimization by Guoqing Geng, Shuai Zeng, Liqin Sun, Zhongxing Li, Wenhao Yu

“…The model predictive controller is constructed based on a discrete-time state-space model. The optimal interval for suspension force is obtained through solving cost functions while satisfying a set of constraints on controlled variables and thereby reducing the coupling complexity of a multivariable control system. …”
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Doubling fusion power with volumetric optimization in magnetic confinement fusion devices by J. F. Parisi, J. W. Berkery, A. Sladkomedova, S. Guizzo, M. R. Hardman, J. R. Ball, A. O. Nelson, S. M. Kaye, M. Anastopoulos-Tzanis, S. A. M. McNamara, J. Dominski, S. Janhunen, M. Romanelli, D. Dickinson, A. Diallo, A. Dnestrovskii, W. Guttenfelder, C. Hansen, O. Myatra, H. R. Wilson

“…Stability calculations confirm that this edge alteration is compatible with maintaining plasma stability. This optimization method for optimizing fusion power output could improve the performance of magnetic confinement fusion power plants.…”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…Automated hyperparameter tuning is done with KerasTuner, while dropout and weight decay regularization methods are used to control overfitting. …”
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Enhancing corn yield prediction: Optimizing data quality or model complexity? by Yuting Zhou, Shengfang Ma, Huihui Zhang, Sathyanarayanan Aakur

“…Models utilizing multispectral data outperformed models using RGB, albeit with variations across growth stages. Deep learning methods performed better than ensemble learning methods in the early and late growth stages using RGB, while performance became comparable in the middle stage. …”
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Sensor Field Segmentation and Parameter Optimization for Electrical Capacitance Tomography System by ZHANG Jin-rong, WANG Li-li, YANG Bo-Tao, LIU Xiao

“…The orthogonal design method is used to optimize the structural parameters of the sensor，and the ＲBF neural network is used to perform regression analysis on the orthogonal design test results. …”
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PID CONTROLLER FOR SPEED CONTROL OF PMSM BASED ON MAYFLY OPTIMIZATION ALGORITHM by Fatimah F. Jaber

“…Recently, the MA was introduced as a new intelligent optimization method with exceptional optimization capabilities. …”
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