An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations by Mahmoud Mollayousefi Zadeh, Zakaria Afshar, Gholamreza Farahani, Seyed Mohammad Taghi Bathaee

“…The proposed model comprises three stages, one master and two subproblems, using both linearized and convexified power flow equations. Meanwhile, a new optimization-based bound tightening (OBBT) method is also presented to strengthen the relaxation. …”
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Problems of optimization and the experience of making medical decisions at the admission of patients with thromboembolism of the branches of the pulmonary artery by M. A. Mel'nikov, S. E. Katorkin, M. Yu. Kushnarchuk, O. E. Kushnarchuk

“…Analysis of existing practices of making medical decisions upon admission of patients with PE to a multidisciplinary hospital, as well as development of recommendations for their optimization. Materials and methods. An analysis of modern Russian and foreign clinical guidelines, literary scientific sources, statistical reports, and data on medical care standards for multidisciplinary medical organizations concerning the organization of diagnostics and treatment of PE was conducted. …”
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Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

“…Without proper control, high levels of renewable integration can pose challenges to optimal dispatch, especially as more generation sources, like wind and solar PV, are introduced. …”
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Advanced Genetic Algorithms for Optimal Battery Siting: A Practical Methodology for Distribution System Operators by Edward Alejandro Ortiz, Josimar Tello-Maita, David Celeita, Agustin Marulanda Guerra

“…The growing integration of renewable energy sources and the electrification of multiple sectors have heightened the need for optimized planning and operation of modern electrical distribution systems. …”
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Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources by Seokwoo Hyun, Geonho Kim, Jungsung Park, Yunhyuk Choi

“…This study addresses the challenges of grid stability posed by the integration of renewable energy sources, focusing on regions, like Jeju Island, where overgeneration complicates energy management. …”
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Optimizing Civics Learning in High School through the Use of Print Books and Online Learning Resources by Jessica Wijaya, Nuraini Asriati

“…The results of the study showed that teachers can optimally improve Civics learning in high school by integrating printed books and online learning resources by first understanding in depth the Civics curriculum in high school, then making lesson plans that combine printed books and online learning resources and Learning Management System (LMS), applying project-based learning methods, giving online assignments related to printed book materials, fostering students' digital literacy to find accurate and reliable learning sources, using multimedia such as learning videos from YouTube and implementing simulations. …”
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Delay margin analysis of FOTID controller for RES based EV system using MMGPE optimization by Adhit Roy, Susanta Dutta, Soumen Biswas, Anagha Bhattacharya, Sajjan Kumar, Soham Dutta, Provas Kumar Roy

“…Multi model multi-objective grey prediction evolution (MMGPE) optimization has been designed to fine-tune the previously specified controller settings. …”
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Georgian Territories in the System of State Administration of the Russian Empire, 1801–1812: the Search for an Optimal Model by A. T. Urushadze

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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Accurate and reliable estimation of the state of health (SOH) of lithium-ion batteries is crucial for ensuring safety and preventing potential failures of power sources in electric vehicles. However, current data-driven SOH estimation methods face challenges related to adaptiveness and interpretability. …”
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Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm by Alireza Mohammadi, Fariborz Parandin, Pouya Karami, Saeed Olyaee

“…A key innovation is the ability to realize both gates within a single structure by adjusting the phases of the input sources. To optimize the phase parameters efficiently, we employ the ML-FOLD (Meta-Learning and Formula Optimization for Logic Design) optimization formula, which outperforms traditional methods and machine learning approaches in terms of computational efficiency and data requirements. …”
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A Review of Optimization Scheduling for Active Distribution Networks with High-Penetration Distributed Generation Access by Kewei Wang, Yonghong Huang, Yanbo Liu, Tao Huang, Shijia Zang

“…Consequently, research on optimal dispatch for ADNs with a high penetration of renewable energy has become a current focal point. …”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Achieving precise predictions is crucial for enhancing structural reliability and optimizing resource usage in construction projects. …”
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Optimizing solar PV systems using fuzzy logic for Climate-Resilient Healthcare infrastructure in Kyrgyzstan by Nivine Guler, Zied Ben Hazem, Ali Gunes

“…Though photovoltaic (PV) modules are commonly used for renewable energy generation, conventional methods are generally based on fixed tilt angles or high mathematical modeling techniques. …”
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Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets by Agnieszka Sobianowska-Turek, Amelia Zielińska, Weronika Urbańska, Anna Mielniczek, Agnieszka Fornalczyk, Szymon Pawlak, Tomasz Małysa, Janusz Cebulski

“…The growing demand for lithium, driven by its crucial role in energy storage technologies such as lithium-ion batteries for electric vehicles, renewable energy storage, and portable electronics, is intensifying the need for sustainable extraction methods. While lithium is sourced from both primary and secondary resources, particularly from recycled materials, the recovery from spent lithium-ion batteries remains challenging. …”
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Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples by Abdullahi G. Usman, Sagiru Mati, Hanita Daud, Ahmad Abubakar Suleiman, Sani I. Abba, Hijaz Ahmad, Taha Radwan

“…This study proposed the use of a support vector regression (SVR) predictive model improved by two metaheuristic algorithms used for optimization namely, Harris Hawks Optimization (HHO) and Particle Swarm Optimization (PSO) to predict chromatographic retention time of various food mycotoxin groups. …”
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Optimal Skin Prick Test Panel for Detecting Respiratory Allergens in Children: A Retrospective Study by Aykut Eşki, Gökçen Kartal Öztürk, Figen Gülen, Esen Demir

“…An SPT with fewer allergen sources was required to detect older sensitized children than younger children.…”
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Optimizing industrial and domestic water consumption efficiency for sustainable growth through data envelopment analysis by Z. Bayat, J. Vives Costa, J.J. de Felipe Blanch

“…Gross domestic product and water consumption information was acquired from regional governmental sources. The analysis included input and output-oriented models to identify opportunities for efficiency improvement.FINDINGS: The results showed that Barcelona’s industrial sector achieved optimal water resource consumption efficiency with a score of 1 in both models, setting a benchmark. …”
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Harnessing greylag goose optimization for efficient MPPT and seven-level inverter in renewable energy systems by K. Rajaram, R. Kannan

“…The proposed GGO algorithm achieved a minimal THD of 1.95%, surpassing methods such as salp swarm optimization (6.14%), artificial neural networks with fuzzy logic (5.9%), hybrid global selective algorithm (GSA) selective harmonic elimination (7.7%), and genetic algorithms with particle swarm optimization (10.84%), demonstrating its exceptional efficacy in improving power quality.…”
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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…Traditional machine learning (ML) models often fall short in predicting the highly variable nature of smart grid operations. Methods: This study introduces an ensemble stacked bidirectional Long Short-Term Memory model enhanced by a proposed Adaptive Aquila Optimizer (AAO). …”
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An approach to the conservation of the endangered yew (Taxus baccata L.) by optimizing callus culture for taxol production by Marziyeh Sarmadi, Naser Karimi, Mohammad Hossein Mirjalili

“…It is one of the most important sources of taxol, an anti-cancer compound. This plant is an endangered species due to its low growth and regeneration and also over-harvesting. …”
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