Parameter-Matching Multi-Objective Optimization for Diesel Engine Torsional Dampers by Zhongxu Tian, Zhongda Ge

“…Parameter optimization of the damper was achieved via the NSGA-II multi-objective algorithm combined with a Bayesian-hyperparameter-optimized BP neural network. …”
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Optimization of depository accounting system of stock and obligation market with application of blockchain by D. I. Kozlov

“…The analysis of efficiency of the given models is carried out and the criteria of efficiency estimation of each model are revealed. Materials and methods. For carrying out the research the works of description of register system genesis of stock market in Russia were applied. …”
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Combination treatment optimization using a pan-cancer pathway model. by Robin Schmucker, Gabriele Farina, James Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm

“…We also show how our method can be used to optimize the drug combinations used in sequential treatment plans-that is, optimized sequences of potentially different drug combinations-providing additional benefits. …”
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RIS-assisted terahertz frequency band vehicle network capacity optimization by Fatang CHEN, Xiaoling LIU, Dan WANG, Ruofan ZHANG

“…In order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of limited total system power, QoS constraints of cellular mobile users, and randomness constraints of vehicle and user locations, a hybrid optimization model was established for optimal power allocation and optimal deployment of RIS with the aim of maximizing the total rate of vehicle users.Based on the balance method, linear transformation method, and element elimination method, the original NP-hard problem was transformed into a convex optimization problem with complex correlation constraints and multivariate coupling.The inner layer iteration was based on the Lagrange multiplier method to solve the optimal power allocation, and the outer layer iteratively solved the optimal deployment of RIS based on a improved genetic algorithm.The simulation results show that rationally deploying the number and distribution density of RIS nodes based on optimal power allocation can save costs while achieving a higher target total capacity.…”
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Optimizing the Production of Polysaccharides from Cyanobacterium sp. IPPAS B-1200 by Stanislav A. Sukhikh, Ekaterina A. Budenkova, Yulia-Danae S. Boychenko, Veronika D. Anokhova, Vyacheslav F. Dolganyuk, Egor V. Kashirskih

“…Removal of sodium bicarbonate from the medium and a 300%-increase in its concentration raised the yield of polysaccharides. The optimal value of active acidity for the synthesis of polysaccharides was pH = 6 while the optimal temperature for their accumulation was 35°C. …”
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An optimized generative adversarial network for state estimator in electric power systems by Ying-Yi Hong, Yen-Cheng Wang, Weina Zhang

“…To address these challenges, an innovative state estimator based on a Wasserstein Generative Adversarial Network (WGAN) is proposed in this paper, implemented through two iterative optimization loops. In this approach, the data distribution is captured by the generative network, while the probability that sampled datasets originate from the training datasets is evaluated by the discriminative network. …”
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Model of Optimization of Process Parameters for Machining of Separate Design Elements of the Product by Gulnara Zhetessova, Irina Khrustaleva, Viacheslav Shkodyrev, Olga Zharkevich, Aliya Kanatova, Murat Kozhanov, Gulim Tattimbetova, Gulnur Abdugaliyeva

“…Optimization of process parameters for manufacturing of individual surfaces and the product as a whole is one of the key tasks of technological preparation of production. …”
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Cooperative Control and Intelligent Optimization for Air-Sea Heterogeneous Unmanned Systems by Can KE, Huifang CHEN, Lei XIE

“…Meanwhile, for the trajectory planning issue of the leader in each domain, a cooperative trajectory planning algorithm based on the artificial potential field method was proposed for the leader in each domain to reach the target location while avoiding obstacles. …”
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Identifying a Global Optimizer with Filled Function for Nonlinear Integer Programming by Wei-Xiang Wang, You-Lin Shang, Lian-Sheng Zhang

“…This paper presents a filled function method for finding a global optimizer of integer programming problem. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. While Particle Swarm Optimization (PSO) and Large Language Models (LLMs) have been individually applied in optimization and deep learning, their combined use for enhancing convergence in numerical optimization tasks remains underexplored. …”
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Complex Methodology for Parameter Optimization of Dynamic Injection Regulator Ad- justment by G. T. Kulakov, M. L. Harelyshava

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Dynamic Coal Flow-Based Energy Consumption Optimization of Scraper Conveyor by Qi Lu, Yonghao Chen, Xiangang Cao, Tao Xie, Qinghua Mao, Jiewu Leng

“…A dynamic coal flow model is developed through theoretical derivation and EDEM simulations, validated for parameter settings, boundary conditions, and numerical methods. The multi-objective optimization model for energy consumption is solved using the NSGA-II-ARSBX algorithm, yielding a 33.7% reduction in energy consumption, while the lump coal area is reduced by 27.7%, indicating a trade-off between energy efficiency and coal fragmentation. …”
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Optimizing FCN for devices with limited resources using quantization and sparsity enhancement by Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam

“…Our results demonstrate that this method significantly enhances sparsity, achieving up to 40%, while preserving performance, yielding an impressive 89.3% pixel accuracy under extreme quantization conditions. …”
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Global Ocean Forecast Accuracy Improvement Due to Optimal Sensor Placement by Turko Nikita, Lobashev Aleksandr, Ushakov Konstantin Viktorovich, Kaurkin Maksim Nikolaevich, Kal'nickiy Leonid Yur'evich, Semin Sergey, Ibraev Rashit

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Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining by Arbnor Pajaziti, Orlat Tafilaj, Afrim Gjelaj, Besart Berisha

“…We propose a method that integrates advanced algorithms to identify and eliminate redundant movements, optimize the toolpaths, and improve the machining strategies. …”
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Application of Blocplan and Aldep Algorithms for Optimizing Production Layout at Meatball Factory by Thabed Tholib Baladraf

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Aeroelastic Optimization Design for High-Aspect-Ratio Wings with Large Deformation by Changchuan Xie, Yang Meng, Fei Wang, Zhiqiang Wan

“…In this optimization problem, parameters of beam cross section are chosen as the design variables to satisfy the displacement, flutter, and strength requirements, while minimizing wing weight. …”
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The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

“…Subsequently, a hybrid optimization method is designed, combining the Genetic Algorithms with particle swarm optimization to improve the model’s global search capability and local convergence speed. …”
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Optimal UAV Deployment for Data Collection in Deadline-based IoT Applications by Baghdad Science Journal

“…The deployment of UAVs is one of the key challenges in UAV-based communications while using UAVs for IoT applications. In this article, a new scheme for energy efficient data collection with a deadline time for the Internet of things (IoT) using the Unmanned Aerial Vehicles (UAV) is presented. …”
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An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…To address this, we propose a five-step optimization framework that reduces computation time while maintaining practical applicability. …”
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