Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing by Aminu Aminu Muazu, Ahmad Sobri Hashim

“…One key aspect of CIT is coverage efficiency, which ensures that the desired interaction coverage is achieved with the fewest possible test cases, optimizing the testing process. Additionally, test suite reduction and execution time plays a crucial role by minimizing the number of test cases and time respectively without significantly compromising critical coverage, thereby improving the overall efficiency of the testing process. …”
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Green RP-HPLC method for simultaneous quantification of epigallocatechin-3-gallate and rosmarinic acid in lipid-based nanocarriers and biological fluids: Quality by design-driven o... by Rahul Koli, V.S. Mannur

“…Systematic optimization of the RP-HPLC method was subsequently achieved using a Box-Behnken design, with the % organic phase, flow rate, and column temperature as the variables. …”
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Physiological and metabolic responses of Bacopa monnieri to salt-induced stress: implications for secondary metabolite elicitation by Worasitikulya Taratima, Attachai Trunjaruen, Kanokwan Kaenpho, Pitakpong Maneerattanarungroj, Narisa Kunpratum

“…This study aimed to optimize NaCl concentration and exposure duration to enhance bacoside A production in B. monnieri. …”
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Review on the Applications of Intelligent Algorithm in Wireless Charging System for Electric Vehicles by Shuguang Wei, Feifan Xu, Dong Yuan, Kewei Chen, Bin Liu, Jiaqi Li

“…This paper presents a comprehensive review of the intelligent algorithms (IAs) based optimization of electric vehicle (EV) wireless charging. …”
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Intelligent design of mixture proportions of manufactured sand concrete from environmental, economical and mechanical perspectives by Junfei Zhang, Changhai Xu, Lei Zhang, Ling Wang

“…The developed MOO model effectively identifies the Pareto front, balancing cost, UCS, and CO2 emissions for MSC mixtures. By offering a systematic approach to optimizing MSC design, this framework enables cost-effective and sustainable concrete production, supporting the development of environmentally friendly construction practices.…”
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Research on the Impact of Gate Engineering on Seawater Exchange Capacity by Mingchang Li, Xinran Jiang, Aizhen Liu

“…Through intelligent scheduling of exchange sluice gates, systematic gate parameter optimization, and active control of gate opening, this approach achieves intelligent seawater exchange, optimized flow dynamics, active exchange, and sustained ecological water levels in enclosed coastal water bodies.…”
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Simplified method for analyzing inherent properties of large-scale liquid-filled pipelines by Zuming Shen, Seng Pang, Zihang Jiang, Guohui Wu

“…Overall, the study provides a systematic approach towards a dynamic analysis, effective diagnostics, and active control of pipeline vibrations, aiming to enhance operational safety and reliability.…”
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Advanced Planning Systems in Production Planning Control: An Ethical and Sustainable Perspective in Fashion Sector by Martina De Giovanni, Mariangela Lazoi, Romeo Bandinelli, Virginia Fani

“…This study, based on a Systematic Literature Review (SLR), explores how AI techniques enhance Advanced Planning and Scheduling (APS) systems, particularly under finite-capacity constraints. …”
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Optimization of α-mangostin and catechins compound extraction from mangosteen skin extract (Garcinia Mangostana L.) as potential antioxidant using combination method of microwaved... by Hakun Wirawasista Aparamarta, Muhammad Rizky Sanjaya, Rigen Azimatarrusydi, Tepy Lindia Nanta, Arief Widjaja, Michael W.Y. Chan

“…Additionally, High-Performance Liquid Chromatography (HPLC) was employed for quantitative analysis of α-mangostin and catechins. Under the optimal MAE condition 50 °C for 5 min with a solid-to-solvent ratio of 1:16 the polar fraction achieved a DPPH inhibition of 66.78 % and a total phenolic content (TPC) of 897.27 mg GAE/g. …”
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Multiphysics Modeling and Performance Optimization of CO₂/H₂O Co-Electrolysis in Solid Oxide Electrolysis Cells: Temperature, Voltage, and Flow Configuration... by Rui Xue, Jinping Wang, Jiale Chen, Shuaibo Che

“…This study developed a two-dimensional multiphysics-coupled model for co-electrolysis of CO₂ and H₂O in solid oxide electrolysis cells (SOECs) using COMSOL Multiphysics, systematically investigating the influence mechanisms of key operating parameters including temperature, voltage, feed ratio, and flow configuration on co-electrolysis performance. …”
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TiN-containing high-heat-input welding steels: Optimizing Ti/N ratio and precipitation temperature for enhanced low-temperature impact toughness in coarse-grained heat-affected zon... by Junjie Hao, Chao Wang, Hua Duan, Zhu Yan, Guo Yuan, Guo-dong Wang

“…However, excessive precipitation temperatures induce coarse TiN particles (2–4 μm) via liquid-phase precipitation, while excessively low Ti/N ratios elevate free nitrogen levels, both of which degrade toughness by promoting cleavage fracture initiation. A critical ''ideal content region'' was identified, balancing TiN stability (precipitation temperature: 10–20 °C below solidus) and Ti/N ratio (2.0–2.5), which optimizes grain boundary pinning and minimizes embrittlement.…”
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Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis by Abdelhadi Limane, Farouq Zitouni, Saad Harous, Rihab Lakbichi, Aridj Ferhat, Abdulaziz S. Almazyad, Pradeep Jangir, Ali Wagdy Mohamed

“…To respond to this challenge, this paper comprehensively analyzes recent advances in CMAs from 2013 to 2024, proposing a novel classification scheme that systematically organizes prevalent and practical approaches for integrating chaos theory into metaheuristic algorithms based on their strategic roles. …”
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Multi-Entity Collaboration Mechanism of Key Core Technology Innovation Based on Differential Game by Xinxin Fan, Dingding Xiao, Peng Hui, Lizhuang Cui, Guilong Zhu

“…In this scenario, the revenues of the innovation entity and the overall system reach Pareto optimality. Within a threshold range, the cost-sharing mechanism significantly improves innovative efforts, the R&D level, and the market share of key core technology, leading to a Pareto improvement for both the participants’ and overall system’s revenues compared to the non-collaborative mechanism. …”
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Efficacy and safety of agents for IgA nephropathy: a network meta-analysis of randomized controlled trials by Bo Chen, Bo Chen, Yan Zhu, Yang Yang, Gaosi Xu

“…This study aims to systematically evaluate the efficacy differences of existing treatment regimens on clinical remission (CR), 24-h urinary protein excretion (24-h UPE), ESRD or kidney damage (KD) and adverse events (AEs) in IgAN, providing evidence-based support for optimizing stratified treatment strategies.MethodsA systematic search was conducted in the PubMed, Web of Science, Embase, and Cochrane Library databases up to February 20, 2025, including 57 randomized controlled trials (RCTs) covering 19 interventions. …”
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High‐Throughput Tiling of Essential mRNAs Increases Potency of Antisense Antibiotics by Giorgia Danti, Linda Popella, Jörg Vogel, Hans M. Maric

“…Peptide nucleic acid (PNA)‐based antisense molecules offer a promising approach by selectively inhibiting essential bacterial mRNAs, but their design rules for optimal efficacy remain incompletely understood. …”
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Evaluating the planning efficiency for repetitive construction projects using Monte Carlo simulation technique by Ahmed M. Ebid, Taher Ammar, Ibrahim Mahdi, Hosam Hegazy

“…Traditional scheduling methods often rely heavily on planner experience, limiting their ability to manage uncertainties and resource fluctuations in large-scale projects. This study proposes a Monte Carlo simulation-based framework to enhance planning efficiency by systematically modeling activity prioritization, resource allocation, and schedule optimization. …”
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BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering by Ravil Mussabayev, Rustam Mussabayev

“…In this work, we introduce BiModalClust, a novel clustering algorithm that leverages a bimodal optimization paradigm to overcome these challenges. …”
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Cutting-Edge EMS Technologies for EVs and HEVs: Recent Developments and Future Directions by Yashar Farajpour, Armin Lotfy, Hicham Chaoui, Sousso Kelouwani

“…This study aims to address the growing complexities in EMS development by introducing a novel classification framework that organizes existing methodologies into rule-based, optimization-based, and intelligent transportation system (ITS)-based approaches. …”
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Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation by Hyunseung Kong

“…Recent advances in artificial intelligence (AI) provide powerful tools to enhance multiple stages of cancer vaccine development. This review systematically evaluates AI applications in personalized cancer vaccine research over the past five years, focusing on four key areas: neoantigen discovery, codon optimization, untranslated region (UTR) sequence generation, and mRNA vaccine design. …”
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An analytics-driven economic order quantity model integrating fuzzy learning for deteriorating imperfect items in sustainable supply chains by M. Palanivel, M. Venkadesh, S. Vetriselvi, M. Suganya

“…Additionally, the study explores the role of fuzzy learning in optimizing supply chain networks, enabling improved environmental performance, and minimizing carbon emissions. …”
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