Optimization Method for Reliability–Redundancy Allocation Problem in Large Hybrid Binary Systems by Florin Leon, Petru Cașcaval

“…This paper addresses a well-known research topic in the design of complex systems, specifically within the class of reliability optimization problems (ROPs). …”
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Method for designing specialized computing systems based on hardware and software co-optimization by I. Е. Tarasov, P. N. Sovietov, D. V. Lulyava, D. I. Mirzoyan

“…The purpose of the present work is to develop a methodology for designing specialized computing systems based on the joint optimization of hardware and software in relation to a selected subclass of problems.Methods. …”
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Preference Integration and Optimization of Multistage Weighted Voting System Based on Ordinal Preference by Yu-ke Chen, Yan Zou, Zhe Chen

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An Optimized Bioassay System for the Striped Flea Beetle, <i>Phyllotreta striolata</i> by Liyan Yao, Xinhua Pu, Yuanlin Wu, Ke Zhang, Alexander Berestetskiy, Qiongbo Hu, Qunfang Weng

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Optimizing Agri-PV System: Systematic Methodology to Assess Key Design Parameters by Kedar Mehta, Wilfried Zörner

Subjects: “…agrivoltaic systems…”
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Optimizing PID Controller Design for Rotor Systems Suspended by Active Magnetic Bearings by Ibrahim Abubakar, Atte Putkonen, Marek Rehtla, Tuomo Lindh, Stijn Derammelaere, Niko Nevaranta

“…This paper concentrates on optimizing PID-based controllers for AMB-suspended rotor systems, aiming to enable the analysis of outcomes within a standardized framework. …”
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Advanced Distribution System Optimization: Utilizing Flexible Power Buses and Network Reconfiguration by Jesus Clavijo-Camacho, Francisco J. Ruiz-Rodríguez, Reyes Sánchez-Herrera, Alvaro C. Alamo

“…The increasing integration of distributed generation (DG) and the rise of microgrids have reshaped the operation of distribution systems, introducing both challenges and opportunities for optimization. …”
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An Effective AFNIS-MPPT-Based Method for Optimizing Hybrid Energy Harvesting Systems by Muhammad Saqib, Ghulam Sarwar Kaloi, Mehr Gul, Muhammad Shahzad Nazir, Mohsin Ali Koondhar, Lutfi Albasha, Faisal Alsaif

“…The increasing global demand for renewable energy, particularly from solar and wind sources, highlights the need for sophisticated control strategies to optimize power generation efficiency. Maximum Power Point Tracking (MPPT) techniques are essential for improving the performance of Hybrid Renewable Energy Systems by maximizing power extraction from variable sources. …”
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ON PROBLEMS OF DEVELOPMENT OF OPTIMIZATION ALGORITHMS OF APPLICATION OF ALLOWANCES AND DECLINES IN THE SYSTEMS OF AUTOMATED DESIGNING by A. N. Chichko, T. V. Matjushinets, V. F. Sobolev

“…The algorithmic schemas of building of solid models of casting objects in CAD-systems are described. The ways of optimization of the algorithmic schemas constructions for creation of multivariant solid modifications of the object with the purpose of modeling of technological processes are shown.…”
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Vibration Optimization of Multi-gear Transmission System based on Mixed-discrete Method by Zhang Lijuan

“…Setting minimal mass and vibration accelerated speed of total components as optimization objective function,the teeth number,module,helical angle as optimization design variable,the gear strength,transmission ratio and contact ratio as constraint condition,the vibration optimization modal of multi-gear transmission system is built. …”
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Optimizing Parameters for Hybrid Power Supply in Autonomous Solar Street Lighting Systems by Ihor Shchur, Ihor Bilyakovskyy, Mykhailo Khai

Subjects: “…autonomous street lighting system…”
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THE MAIN PREREQUISITES FOR THE IMPLEMENTATION OF THE WORKFORCE MANAGEMENT SYSTEM TO OPTIMIZE STAFF WORKING HOURS by V. V. Degtyareva, P. M. Gureev, D. A. Trubkin

“…The purpose of the article is to study the principles of managing staff working time to reduce costs and increase efficiency, optimize labor processes, manage and predict the workload of staff, and implement methods and tools to improve efficiency. …”
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Exergoeconomic Optimization of a Novel Hydrogen Generation System Based on Geothermal Energy by Ebrahim Aghaie, Ehsanolah Assareh, Hossein Yousefi, Rahim Moltames, Amirhossein Fathi, Kianoosh Choubineh

“…Five decision variables are considered to optimize system performance. The objective is to maximize the exergy efficiency and on the other hand, minimize the total cost rate of the system. …”
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Enhanced IoT-Based Optimization for a Hybrid Power System in Cartwright, Labrador by Raymond Orie, Lynna Otabil, Jonathan Agorua, Mohammad Tariq Iqbal

“…This project aims to enhance the proposed hybrid system with IoT-based optimization by leveraging a low-cost open-source SCADA system and accomplished monitoring and control capabilities. …”
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Understanding the Complexity of the Food System: Differences and Commonalities between Two Optimization Models by Samantha N. Heerschop, Renee P. M. Cardinaals, Sander Biesbroek, Argyris Kanellopoulos, Johanna M. Geleijnse, Pieter van ‘t Veer, Hannah H. E. van Zanten

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Integrated Optimization System for Geotechnical Parameter Inversion Using ABAQUS, Python, and MATLAB by Chengjie Wan, Nianchun Xu, Jiangchao Meng, Junning Chen

“…This paper presents an integrated optimization system combining ABAQUS (2022), Python (PyCharm21.3.3), and MATLAB (2022b) software, based on the Duncan–Chang (DC) model, for inversion of key geotechnical parameters. …”
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A genetic algorithm based method of optimizing dispersion matrix for RDSM system by Peng ZHANG, Xiaoping JIN, Dongxiao CHEN

“…Rectangular differential spatial modulation (RDSM) is a multi-antenna incoherent modulation technology with high spectral efficiency, low power consumption, and zero-overhead for channel estimation.RDSM is especially suitable for 6G communication systems, such as fast-moving Internet of vehicles, Internet of things, cellular networks, etc.However, the construction of the sparse rectangular unitary space-time dispersion matrix (DM) at transmitter is a problem.The proposed Genetic algorithm (GA) will result in less computational complexity than the currently used random research.The fitness of GA was calculated by the rank and determinant criterion (RDC) method to avoid discussions in differential system.Due to characteristics of constellation symbols of RDSM, the proposed method reduced the computational complexity during each single iteration in GA.The simulation results show that the optimized DMS can significantly improve the bit error rate (BER) performance of the RDSM system.Compared with random search, the low-complexity GA effectively improves the DMS optimization efficiency of RDSM.The computational complexity required for optimizing DMS is about 0.1% of random search optimization method.…”
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A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems by Kaifeng Xie, Jinjing Wan, Lifeng Chen, Yi Wang

“…Furthermore, the targeted fuzzing strategy is enhanced by designing seed queues and selection algorithms that consider the correlation between optimization areas. The implemented system, RustOptFuzz, has been evaluated on both custom datasets and real-world programs. …”
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Performance optimization of physical layer security in STAR-RIS aided NOMA system by LI Meiling, WANG Yumin, WANG Sijing, ZHANG Haijun

“…The strong coupling characteristics of the imperfect channel state information and the imperfect successive interference cancellation makes it faces the great challenge in evaluating the secure performance accurately for the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided non-orthogonal multiple access (NOMA) transmission systems. To address this issue, a mixed algorithm based on penalty dual decomposition (PDD) and block coordinate descent (BCD) was proposed for optimizing the beamforming vectors at the base station and the phase-shift coefficients of the STAR-RIS jointly, aiming to maximize the minimum secure transmission rate of the system. …”
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VSC Adaptive Nonuniform Sampling Approach for Resource Optimization in Networked Controlled System by Andrej Sarjaš, Dušan Gleich

“…This paper presents an Adaptive Event-Triggered nonlinear Control method suitable for Networked Control Systems (NCS) with optimized resource exploitation. …”
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