Multi-Objective Portfolio Optimization: An Application of the Non-Dominated Sorting Genetic Algorithm III by John Weirstrass Muteba Mwamba, Leon Mishindo Mbucici, Jules Clement Mba

“…The findings reveal that NSGA-III significantly outperforms the Mean–Variance method by generating a more diverse set of Pareto-optimal portfolios. Portfolios optimized with NSGA-III exhibited superior performance, achieving higher Sharpe ratios, more favorable skewness, and reduced kurtosis, indicating a better balance between risk and return. …”
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Balancing the Parameters of Perforated Solar Screens to Optimize Daylight and Glare Performance in Office Buildings by Aya M.F. El-Bahrawy

“…These findings suggest that balancing the influence of multiple design parameters is more effective than optimizing individual parameters, providing better control over daylight efficiency and glare reduction.…”
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Evaluating the accuracy of CAD/CAM optimized stones compared to conventional type IV stones. by Gülsüm Ceylan, Faruk Emir

“…However, the EM models (35.6 μm) were more precise than the BC (46.9 μm) and ERF (56.4 μm) models (p = .001, p < .001). …”
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Optimization of Random Forest Algorithm with Backward Elimination Method in Classification of Academic Stress Levels by Salsabila Dani Amalia, Mula Agung Barata, Pelangi Eka Yuwita

“…This increase shows that the feature selection method can optimize model performance by selecting more relevant features. …”
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Function Delivery Network: A Spatial-Temporal Execution Orchestrator for Optimizing Serverless Computing by Joel R. Corporan, Arshdeep Bahga, Vijay K. Madisetti

“…This approach effectively addresses challenges such as cold starts, inefficient resource allocation, and scalability limitations in current serverless platforms. By providing a more efficient and scalable model for serverless computing, the FDN enables more cost-effective and performant cloud-native applications, particularly in scenarios involving high concurrency and global distribution.…”
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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…Furthermore, low-level optimization techniques like genetic algorithms as well as particle swarm optimization are used to fine tune the specific model parameters and to reduce the computational overhead for improving the detection efficacy still more. …”
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The effect of topography on the choice of optimal step intermediate supports along the line of the cable metro by Lagerev A.V., Lagerev I.A.

“…At large angles of inclination of the surface a need for a more rare setup higher interme-diate supports. Within the tilt angle 10...60 degrees the range of variation of the optimal step is small enough, amount-ing to no more than ±10 % from the value of the step at an angle of inclination of the surface 10 degree. …”
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Optimizing risk in action: Differences between fixated aim points and movement outcomes in throwing by Stephan Zahno, Damian Beck, Ralf Kredel, André Klostermann, Ernst-Joachim Hossner

“…Intriguingly, the shifts in the ball’s actual impact location were not only significantly larger (“more conservative”) but also closer to the statistically optimal location compared to the initially fixated aim points. …”
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Integrated production-distribution planning optimization models: A review in collaborative networks context by Beatriz Andres, Raquel Sanchis, Jaques Lamothe, Leila Saari, Frederic Hauser

“…Researchers in the area of collaborative networks are more and more aware of proposing collaborative approaches to address planning processes, due to the advantages associated when enterprises perform integrated planning models. …”
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Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control by Muhammed Cavus

“…The P-PLC method makes the control structure more flexible. However, this method is not optimal. …”
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Transmission Tower Tilt State Recognition Based on Parameter Optimization of VMD-SVD and LSTM by Long ZHAO, Guanru WEN, Zhicheng LIU, Peng YUAN, Xinsheng DONG

“…In order to make the information features more obvious, the singular value decomposition (SVD) of IMF components is performed, and it is found that the singular values of each order component have more obvious differences in different states of the tower. …”
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Structural development and implementation of new underground heavy-load robot based on configuration optimization by Lixia Fang, Yun Chen, Qinwei Zhang, Cong Ma, Miao Wu

“…The scheme combines topology optimization and modular scale synthesis to achieve the optimal configuration for underground heavy-load robot. …”
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Optimal Trajectory Planning for Minimizing Base Disturbance of a Redundant Space Robot with IQPSO by Jianxia Zhang, Fuchao Yang, Guanghua Nie, Jianxin Zhang

“…With the development of aerospace technology, the practical application of a free-floating redundant space robot has become more and more popular. The problem of minimizing base disturbance has been paid attention among academic researchers. …”
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ANSYS Numerical Simulation of Laser Cladding Ni/SiC Process Parameter Optimization by LIU Li-jun, ZHANG Jin-ting, LIU Da-yu, CUI Yuan-biao, JIA Zhi-xin, LI Ji-qiang

“…To overcome the issue of repairing mold surface failure, the parameters of the laser cladding Ni/SiC process is optimized using numerical simulation.The different laser currents, scanning speeds and defocusing are adjusted to optimize simulation result of laser cladding.Meanwhile, the influence of the temperature field and stress field also is studied by changing the size of the process parameters.The simulation results show that temperature and residual stress both increase with the increase of laser current and decrease with the increase of scanning speed and defocusing amount.Among them, the influence of laser current and defocusing amount is more obvious than that of scanning speed on temperature field.The influence of defocus on the stress field is more obvious than that of laser current and scanning speed.Experimental verification shows that the maximum horizontal welding residual stress difference is 76MPa and the maximum longitudinal welding residual stress difference is 86MPa.The experimental error within a reasonable range proves the correctness of the simulation results. …”
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Modeling gonorrhea vaccination to find optimal targeting strategies that balance impact with cost-effectiveness by Trystan Leng, Lilith K. Whittles, Dariya Nikitin, Peter J. White

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A Methodology for Practical Design and Optimization of Class-E DC-DC Resonant Converters by Andrea Celentano, Fabio Pareschi, Victor R. Gozalez-Diaz, Riccardo Rovatti, Gianluca Setti

“…On the one hand, we propose alternative modeling for some devices (in particular the transformer), increasing both flexibility and generality, with the possibility to extend the application to more topologies and more working points. On the other hand, a new normalization is proposed, showing that the actual dimension of the design workspace is 2, and not 3 as assumed in the previous works. …”
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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

“…This study lays the groundwork for future research by suggesting the exploration of additional optimization algorithms and more complex neural network architectures to further improve prediction accuracy.…”
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Optimization of used cottonseed oil methyl ester production using response surface methodology by ABDULLATEEF JIMOH

“…Because of its similar and compatible fuel qualities to diesel fuel, biodiesel purchased from UCSO is becoming more and more significant as a replacement fuel for use in diesel engines. …”
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Wireless Sensor Network Optimization for Constrained Environments With Limited a Priori Target Information by Joseph Mockler, Sarah Wielgosz, Huan Xu

“…We define this optimization problem to generally include physical constraints, which are much more practical for most localization applications. …”
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Stress Analysis and Structural Optimization of Steel–Concrete Joint of Zhonghua Road Bridge in Liaocheng by Jie Jin, Junlin Zhang, Ye Li, Zengkui Xie, Lipo Yang

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