Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization. by Ihab Hashem, Viviane De Buck, Seppe Seghers, Jan Van Impe

“…Our strategy demonstrates that a holistic approach that structures the solution process within the objective space provides significant advantages. These include a more computationally efficient method for solving bi-objective optimization problems, an adaptive representation of the Pareto front based on trade-offs, and intuitive, straightforward parameterization guided by a user-oriented, trade-offs based stopping criterion.…”
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Optimizing Guidance and Counseling Services to Address The Impact of Gadget Use on Elementary School Students' Social Skills by Maulida Aulia Rahman, Siti Sinta, Siti Nur Ajijah

“…Children today spend more time playing with their gadgets than with other people in their immediate environment. …”
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Optimizing Random Forest Parameters with Hyperparameter Tuning for Classifying School-Age KIP Eligibility in West Java by Silfiana Lis Setyowati, Asyifah Qalbi, Rafika Aristawidya, Bagus Sartono, Aulia Rizki Firdawanti

“…Random Forest is an ensemble learning algorithm that combines multiple decision trees to generate a more stable and accurate classification model. This study aims to optimize Random Forest parameters for classifying school-age students' eligibility for the Kartu Indonesia Pintar (KIP) in West Java, based on economic factors. …”
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Accelerated Convergence Method for Flow Field Based on DMD-POD Combined Reduced-Order Optimization Model by Jianhui Li, Jun Huang, Yahui Sun, Guoqiang Li

“…Subsequently, the residual of the reduced-order model is optimized in the POD modal space to obtain a more accurate solution. …”
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Study on the Optimization of Carbon Sequestration in Shanghai’s Urban Artificial Wetlands: The Cases of Shanghai Fish and Dishui Lake by Jin Wang, Jingren Yu, Manjuan Shen, Shengquan Che

“…Results showed significant spatial variation in carbon sequestration, with larger, more fragmented wetland patches contributing more to carbon storage. …”
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AI-assisted technology optimization in disability support systems using fuzzy rough MABAC decision-making by Jabbar Ahmmad, Osamah AbdulAziz Al-Dayel, Meraj Ali Khan, Tahir Mahmood

“…The MSM AOs reduce the sensitivity in huge amounts of data due to symmetric formulation. As a result, more accurate and authentic results can be obtained. …”
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A Methodology for Optimizing the Management of Spent Fuel of Nuclear Power Plants Using Dry Storage Casks by Ian B. Gomes, Pedro L. Cruz Saldanha, Antonio Carlos M. Alvim

“…From the given example, it is possible to see that, using real-life data, the proposed methodology can become a valuable tool to help making nuclear energy a more attractive choice costwise.…”
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Enhancing greenhouse management with interpretable AI: A natural language interface for advanced and optimization-based control by Ramesh Arvind Naagarajan, Stefan Streif

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A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

“…Meanwhile, correlation coefficients among the features are added to binary particle swarm optimization as a feature correlation factor to determine the position of particles, so that the feature with more information is more likely to be selected. …”
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Choice of a Procedure for Optimizing Positive End-Expiratory Pressure in Patients with Acute Respiratory Distress Syndrome by A. V Vlasenko, V. V Moroz, V. N Yakovlev, V. G Alekseyev, N. N. Bulatov

“…In those with ARDS caused by indirect damaging factors, the de-escalation procedure for PEEP optimization was more effective than the escalation one. …”
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Exploring the Balance Between Ecosystem Services and Economic Benefits via Multi-Objective Land Use Optimization by Xiaoyun Li, Zhaonian Lu

“…This study focuses on multi-objective land use optimization in Xinjiang, China’s largest arid region, targeting the dual goals of maximizing ecosystem services and economic benefits. …”
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Parameter identification of sound absorption model of porous materials based on modified particle swarm optimization algorithm. by Xiaomei Xu, Ping Lin

“…When the population size is larger, modified particle swarm optimization algorithm has more advantages in the running speed. …”
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Power System State Estimation through Optimal PMU Placement and Neural Network using Whale Algorithm by SeyedHamed MirMohammadAli Roudaki, Mehrdad Abedi, Iraj Pourkeivani

“…This need is particularly more in focus today due to deregulated and congested systems and smart grid initiatives. …”
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Electric load forecasting based on kernel extreme learning machine optimized by improved sparrow search algorithm by Diming Zhang, Yuchen Xu, Yuanjiang Li

“…This enhancement involves balancing the global and local search capabilities by introducing dynamic inertia weights, employing a suboptimal solution guidance strategy to facilitate the escape from local optima, and applying dimension-wise dynamic reverse learning to boost population diversity and quality, thereby hastening convergence. Subsequently, we optimize the parameters of Variational Mode Decomposition (VMD) using the improved SSA (WHFSSA) to achieve precise decomposition of electric load sequences into more regular subsequences. …”
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Integrating Large Language Models and Optimization in Semi- Structured Decision Making: Methodology and a Case Study by Gianpaolo Ghiani, Gianluca Solazzo, Gianluca Elia

“…In this study, we propose a novel framework that integrates Large Language Models (LLMs) with optimization techniques to streamline such decision-making processes. …”
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Route Optimization of Hazardous Material Railway Transportation Based on Conditional Value-at-Risk Considering Risk Equity by Liping Liu, Shilei Sun, Shuxia Li

“…Unlike conventional models that focus solely on risk reduction, CVaRE incorporates a risk equity goal, ensuring a more balanced distribution of risk across transportation routes. …”
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Characterizing the Optimal Diversity Training Programs for Physicians: A Survey sponsored by Pacific Spine and Pain Society by Gendreau JL, Bauman MMJ, Brown NJ, Alfonzo Horowitz M, Chakravarti S, Mehkri Y, Grovey B, Lee E, Lee G, Cornidez E, Bhandal HS, Pope JE

“…Survey respondents who obtained diversity training post-fellowship (p = 0.004) and with interactive training type (p = 0.010) self-reported to be more confident in handling matters of diversity in the workplace. …”
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Geospatial cost and emission assessment of universal fiber-to-the-neighborhood (FTTnb) broadband infrastructure strategies for Sub-Saharan Africa by Ogutu B Osoro, Edward J Oughton, Fabion Kauker

“…Currently, fixed fiber infrastructure is essential for providing universal broadband but has received relatively little research attention in low-income countries compared to other more cost-efficient wireless technologies. Yet, pushing out fiber broadband to local areas is essential, even if the final access network is still wireless. …”
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Considering the Figure of Merit as a parameter of optimization in Mammography: a case study of the performance in a CR and a DR system by Raíssa Xavier Contassot, Leonardo Catusso, Isabela Rocha Veiga da Silva, Fabrício Nery Garrafiel, Davi Silveira Azevedo, Cássio Costa Ferreira, Marcela Costa Alcântara Estácio, Felipe Amorim Santos, João Vinícius Batista Valença

“…For 4 and 7 cm of PMMA, however, manual parameter adjustments became more relevant. These results reinforce the value of FOM as an important parameter in determining the most suitable acquisition settings for each analyzed equipment. …”
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Patient Perceptions of a Population Health Management Program to Improve Kidney Care: Optimizing care in CKD by Linda-Marie U. Lavenburg, Susan M. Devaraj, Ambreen Gul, Melanie R. Weltman, Balchandre Neilesh Kenkre, Flor de Abril Cameron, Jane O. Schell, Megan E. Hamm, Manisha Jhamb

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