Health Risk Classification Using XGBoost with Bayesian Hyperparameter Optimization by Syaiful Anam, Imam Nurhadi Purwanto, Dwi Mifta Mahanani, Feby Indriana Yusuf, Hady Rasikhun

“…Based on these problems, this study proposes health risk classification using XGBoost with Bayesian Hyperparameters Optimization. …”
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Optimum response scheme of intrusion detection based on information theory by Youliang TIAN, Yulong WU, Qiuxian LI

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Dynamic Hospital Resource Scheduling During Pandemics with Stochastic Optimization by Yewande Ojo, John Ogbemhe, Oluwabukunmi Victor Babatunde, Subomi Okeowo, Olubayo Babatunde, John Adebisi

“…The model is created in Python language and solved using the Gurobi optimizer in 0.05s, a large-scale scenario optimization analysis problem with 42 variables and 35 constraints. …”
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Numerical simulation of 2-way FSI problem of face packing seal: Impact of parameters change by Sapozhnykov Y., Zahorulko A., Peczkis G.

“…The article is devoted to creating a refined computer model of the face packing seal (FPS) based on the solution of the two-way fluid-structure interaction (2-way FSI) problem. An approach to the average gap was proposed based on the micro-space’s working medium leakage between the friction pair’s roughness elements. …”
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Identification and evaluation of drug-related problems in community pharmacy in Turkey: a descriptive prevalence study by Muhammed Yunus Bektay, Yunus Emre Ayhan, Merve Çakmak, Berre Mercumek

“…Abstract Background Community pharmacies (CPs) are key healthcare providers, playing a significant role in optimizing drug therapy and preventing drug-related problems (DRPs). …”
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Deep Reinforcement Learning for Optimal Replenishment in Stochastic Assembly Systems by Lativa Sid Ahmed Abdellahi, Zeinebou Zoubeir, Yahya Mohamed, Ahmedou Haouba, Sidi Hmetty

“…The focus is on single-level assembly systems, where both component delivery lead times and finished product demand are subject to randomness. The problem is formulated as a Markov decision process (MDP), in which an agent determines optimal order quantities for each component by accounting for stochastic lead times and demand variability. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

“…Nevertheless, the predictive capacity of the Informer model remains suboptimal when it comes to short-term intervals. Aiming at the problem of drought forecasting accuracy in a short time scale, this study proposed a drought forecasting model named VMD-JAYA-Informer based on Variational Mode Decomposition (VMD) and the JAVA optimization algorithm to improve the Informer model. …”
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Unified Framework for Optimal Routing Choice under Guidance Information by Zhi-yuan Sun, Yue Li, Wen-cong Qu, Tanveer Muhammad

“…With consideration of the influence of big data, the scenario analysis of routing choice is implemented, and the routing choice under guidance information is discussed. The optimal routing choice problem is abstracted into the collaboration optimization model of travel route choice, departure time choice, and travel mode choice. …”
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A Comparative Study on Sideband Optimization in Time-Modulated Arrays by Ertugrul Aksoy, Erkan Afacan

“…During the investigations, differential evolution (DE) algorithm is chosen as the optimization tool. The common variable aperture size (VAS) time schemes are optimized to synthesize the desired goals in order to compare the techniques. …”
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A hot-update-aware optimization to the query of LSM-Tree by Qingyin LIN, Zhiguang CHEN

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Application of Optimized Convolution Neural Network Model in Mural Segmentation by Zhiqiang Chen, Leelavathi Rajamanickam, Xiaodong Tian, Jianfang Cao

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Optimization of properties and structure of lightweight materials using digital methods by Igor V. Bessonov, Alexey D. Zhukov, Ekaterina Yu. Bobrova, Elina A. Gorbunova, Ilya S. Govryakov

“…Introduction. The solution to problems aimed at improving the efficiency of construction is closely linked to the use of lightweight mineral materials, which include mineral fibres, foam glass, cold-curing cellular glass, cellular concrete, and foam gypsum. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…Metaheuristic algorithms have gained significant attention in recent years for addressing complex and challenging optimization problems, especially in engineering. These algorithms often take inspiration from natural phenomena, systems or biological behaviour to find optimal solutions. …”
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A Fairness Relation Based on the Asymmetric Choquet Integral and Its Application in Network Resource Allocation Problems by Aoi Honda, Mario Köppen

“…The price of fairness with regard to a wireless channel allocation problem taking channel interference into account is experimentally studied and it can be seen that the asymmetric on relation actually selects allocations that perform on average between maxmin fairness and proportional fairness, and being more close to maxmin fairness as long as channel interference is not high.…”
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A Heuristics-Guided Simplified Discrete Harmony Search Algorithm for Solving 0-1 Knapsack Problem by Fuyuan Zheng, Kanglong Cheng, Kai Yang, Ning Li, Yu Lin, Yiwen Zhong

“…The SDHS algorithm outperforms several state-of-the-art algorithms, with an average improvement of 0.55% in the quality of solutions on large problem instances.…”
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Optimization Algorithm for AoI-Based UAV-Assisted Data Collection by Xiaoya Zhou, Qi Zhu

“…Under the limitations of wireless sensor node communication distance and UAV parameters, the optimization problem of minimizing the average spatial correlation age of information (SCAoI) of all nodes in the area is set up. …”
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Comparative Analysis of Dedicated and Randomized Storage Policies in Warehouse Efficiency Optimization by Rana M. Saleh, Tamer F. Abdelmaguid

“…Parameter tuning for the NSGA-II was conducted using the Taguchi method to identify optimal settings. Experimental and statistical analyses reveal that, for small-size instances, both policies exhibit comparable performance in terms of transportation cost and total tardiness, with R-SLAP demonstrating superior performance in reducing average waiting time. …”
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On Optimization of RIS-Assisted Secure UAV-NOMA Communications with Finite Blocklength by D. Zhao, L. Hu, W. Xiong, H. Cai, Y. Qian, Y. Xing

“…To solve the formulated non-convex problem, we first transform the optimization problem into four convex sub-problems, i.e., phase shift optimization, trajectory optimization, transmit power optimization, and user scheduling optimization. …”
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INEH-VNS Algorithm Solved Automatic Production System Scheduling Problem under Just-in-Time Environment by Li Qingxiang, Zhao Xiaofei, He Yude, Yin Shaojun

“…When the run time is the same, compared with CPLEX 12.5, the INEH-VNS algorithm can find high-quality approximate optimal solution, a special big scale. Compared with the G-VNS algorithm, the average improvement rate of the approximate optimal solution is 45.9%, and the average stability rate of the INEH-VNS algorithm enhances 75.04%. …”
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Local Search Heuristic for the Two-Echelon Capacitated Vehicle Routing Problem in Educational Decision Support Systems by José Pedro Gomes da Cruz, Matthias Winkenbach, Hugo Tsugunobu Yoshida Yoshizaki

“…The heuristic yielded promising results, solving problems almost instantly, for instances in the literature on average in 1.06 s, with average gaps of 6.3% in relation to the best-known solutions and, for real problems with hundreds of customers, in 1.4 s, with gaps of 8.3%, demonstrating its effectiveness in achieving the study’s objectives.…”
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