Optimized Controller Design Using Hybrid Real-Time Model Identification with LSTM-Based Adaptive Control by Yeon-Jeong Park, Joon-Ho Cho

“…This method compensates for the delay time of the SOPTD model while minimizing the Integral Time Absolute Error performance index. …”
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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

“…This model is called Reliability-Based Design Optimization (RBDO). In fact, the coupling between the mechanical modelling, the reliability analyses and the optimization methods leads to very high computational cost and weak convergence stability. …”
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Optimization of Smooth Trajectories for Two-Wheel Differential Robots Under Kinematic Constraints Using Clothoid Curves by Wei Zeng, Tifan Xiong, Chao Wang

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Determination of the delivered hemodialysis dose using standard methods and on-line clearance monitoring by Vlatković Vlastimir, Stojimirović Biljana

“…Thus, a great attention is given to the optimization of dialysis treatment. On-line Clearance Monitoring (OCM) allows a precise and continuous measurement of the delivered dialysis dose. …”
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Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

“…【Methods】The optimized VMD-GAF-MCNN method proposed in this paper integrates signal processing and deep learning techniques. …”
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A Multi-Criteria Decision-Making Framework for Evaluating Emerging Digital Technologies in Supply Chain Optimization by Nabil M. AbdelAziz, Dina Mohamed, Hasnaa Soliman

“…A sensitivity analysis confirmed the robustness of these rankings against weight variations, while comparative validation using alternative MCDM methods (e.g., CODAS,COPRAS, EDAS, and SPOTIS) further supports the reliability of the findings. …”
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Optimized Navigation for SLAM Using Marker-Assisted Region Scanning, Path Finding, and Mapping Completion Control by Luigi Maciel Ribeiro, Nadia Nedjah, Paulo Victor Rodrigues de Carvalho

“…This paper introduces Marker-Assisted Region Scanning for Simultaneous Localization and Mapping (MARS-SLAM), a novel approach to optimizing SLAM in unknown environments. Designed to enhance autonomous exploration in extreme conditions, MARS-SLAM ensures efficient navigation while providing a systematic method for verifying mapping completion. …”
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Optimizing rainfed cropping patterns for economic and environmental sustainability in East Lorestan Iran using GIS and LCA by Zahra Marzban, Mohamamd Reza Asgharipour

“…Policymakers can use these results to develop policies that promote sustainable agricultural practices while practitioners can adopt these methods to optimize their cultivation patterns and reduce their environmental impact.…”
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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

“…Using classical methods for constructing a Pareto set for multicriteria optimization requires significant computational resources, which complicates their practical application.The research objective is to develop a methodology for multicriteria optimization of the parameters of a positioning electropneumatic actuator with discrete distributors based on the construction of a Pareto set using surrogate models, which provides finding the optimal balance between switching frequency and positioning accuracy.Materials and Methods. …”
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Near Time-Optimal Trajectories with ISO Standard Constraints for Human–Robot Collaboration in Fabric Co-Transportation by Renat Kermenov, Alessandro Di Biase, Ilaria Pellicani, Sauro Longhi, Andrea Bonci

“…This is achieved by constraining the path of the robot trajectory with prescribed velocities and accelerations while simultaneously ensuring a near time-optimal control strategy. …”
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Optimizing Contraceptive Counselling for Women with Migraine in a Primary Care Unit: A Quality Improvement Project by Rita Vasconcelos, Joana Sousa, Joana Ribeiro, Pedro Pereira, Bárbara Alvarenga, Mário Gomes, Maria Sá

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Optimization of magnetic compound fluid polishing process parameters for PMMA workpieces based on grey relational analysis by Youliang WANG, Xichun GAO, Wenjuan ZHANG

“…ObjectivesMCF polishing technology has become an advanced ultra-precision machining method. To address the issue of different process parameters in achieving optimal surface quality or maximum processing efficiency in MCF polishing technology, it is necessary to accurately control the range of each process parameter and deeply understand the impact of different process parameters on MCF polishing performance.MethodsThe process parameters of the MCF polishing tool are optimized based on grey relation analysis (GRA) to meet the requirements of minimum surface roughness while improving material removal efficiency. …”
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Technology independent optimization when implementing sparse systems of disjunctive normal forms of Boolean functions in ASIC by P. N. Bibilo, S. N. Kardash

“…When implementing sparse DNF systems of Boolean functions in ASIC, along with traditional methods of joint minimization of systems of functions in the DNF class, methods for optimizing multilevel representations of Boolean function systems based on Shannon expansions can be used for technologically independent optimization, while separate minimization and joint minimization of the entire system as a whole turn out to be less effective compared with block partitions and coatings of the DNF system and subsequent minimization of multilevel representations. …”
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Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…Feature extraction is further optimized through a dual-threshold moving window detection algorithm for precise activity segmentation, a subcarrier selection method to filter redundant or unstable channels, and principal component analysis (PCA) to reduce feature dimensionality while retaining 90% of critical information. …”
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A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators by Seungcheon Shin, Minseok Kang, Jaemin Baek

“…The proposed method has a key point that the optimal data bandwidth can be obtained by the loss function and its derivative in the robot manipulators. …”
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TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

“…Experimental results show that the proposed TCN-QRNN model outperforms traditional methods by 40% in accuracy compared to LSTM and by 8% in terms of metrics such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) compared to TCN-LSTM, while reducing data processing time by 30%. …”
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Green ILC: A Novel Energy-Efficient Iterative Learning Control Approach by Yu Dou, Emmanuel Prempain

“…This novel approach introduces a cost function that minimizes both tracking errors and control effort, enabling the system to adaptively optimize performance over iterations. Theoretical analysis and simulation results demonstrate that Green ILC not only achieves faster convergence but also provides significant energy savings compared with traditional ILC methods. …”
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Multi-objective optimization and performance evaluation of rotary furnace refractory linings using locally sourced materials by Aragaw Mulu Muhaba

“…The Grey Taguchi method and grey relational analysis were employed to optimize cold crushing strength (CCS), thermal shock resistance (TSR), and open porosity (OP). …”
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Multi-objective Optimal Scheduling of Water-Carbon in Cascade Reservoirs during Impoundment for Carbon Emission Reduction by ZHOU Yan-lai, NING Zhi-hao, HE Jun-tao

“…[Methods] Given that current studies on cascade reservoir impoundment scheduling have not yet incorporated carbon reduction objectives, this study proposed a multi-objective water-carbon scheduling model for cascade reservoirs during impoundment period based on the carbon emission factor method.An early storage strategy for cascade reservoirs was developed,and three objectives—minimizing flood control risk,maximizing power generation,and minimizing greenhouse gas emissions—were established.The Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) was employed to derive optimal scheduling schemes for the impoundment period.…”
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Optimal CMOS Analog Amplifier Circuit Design Using a Modified PSO for Consumer Electronic Applications by Rajalaxmi Das, Bishnu Prasad De, Sumalya Ghosh, Rajib Kar, Durbadal Mandal, Bhargav Appasani

“…PSO is a robust optimization method but may suffer from premature convergence and slow convergence speed. …”
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