A novel multidimensional framework for bridging conservation gaps and optimizing the system of natural reserves for biodiversity: A case study of Dongying, China by Yifei Xu, Chi Li

“…A research framework can also be developed based on this information to comprehensively assess and optimize NRs, underpinning the scientific establishment and development of a protected areas system with national parks as the mainstay. …”
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A Solution Method for Non-Linear Underdetermined Equation Systems in Grounding Grid Corrosion Diagnosis Based on an Enhanced Hippopotamus Optimization Algorithm by Jinhe Chen, Jianyu Qi, Yiyang Ao, Keying Wang, Xin Song

Subjects: “…Enhanced Hippopotamus Optimization (EBOHO)…”
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Synergistic Integration of LQR Control and PSO Optimization for Advanced Active Suspension Systems Utilizing Electro-Hydraulic Actuators and Electro-Servo Valves by Trong Tu

Subjects: “…active suspension system…”
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Otimização do uso da água em sistemas de irrigação por aspersão Optimization of water use in sprinkler irrigation systems by Vital P. da S. Paz, José A. Frizzone, Tarlei A. Botrel, Marcos V. Folegatti

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IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system by Khaled Benzaoui, Abderrahmen Bouguerra, Samir Zeghlache, Ahmed Elsanabary, Saad Mekhilef, Ahmed Bendib, Houssam eddine Ghadbane, Hegazy Rezk

“…Applying advanced control strategies with optimal parameters tuning is challenging for ensuring good tracking performance and stable operation of the dual-stator induction generator-based wind turbine (WT-DSIG) systems. …”
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Simulation-Driven Optimization of Thermochemical Energy Storage in SrCl₂-Based System for Integration with Solar Energy Technology by Suratsavadee K. Korkua, Uthen Thubsuang, Siraporn Sakphrom, Santanu Kumar Dash, Chalearm Tesanu, Kamon Thinsurat

“…This study presents a simulation-driven optimization of thermochemical energy storage using SrCl₂-based systems for integration with solar energy technologies. …”
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Short-Term Power Prediction of Wind Power Generation System Based on Logistic Chaos Atom Search Optimization BP Neural Network by Yihan Zhang, Peng Li, Huixuan Li, Wenjing Zu, Hongkai Zhang

“…Therefore, accurate power prediction of the wind power generation system is worthy of in-depth study. And this paper proposes a wind power prediction model based on logistic chaos atom search optimization (LCASO) optimized back-propagation (BP) neural network, aiming to achieve accurate and efficient power prediction. …”
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Optimizing success rate with Nonlinear Mapping Control in a high-performance raspberry Pi-based light source target tracking system. by Guiyu Zhou, Bo Zhang, Qinghao Li, Qin Zhao, Shengyao Zhang

“…By adjusting the parameter c of the nonlinear mapping curve, we optimize the system's performance, balancing the response speed and stability. …”
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Design of an intelligent AI-based multi-layer optimization framework for grid-tied solar PV-fuel cell hybrid energy systems by Prashant Nene, Dolly Thankachan

“…The results validate its capability when compared against traditional methods such as Genetic Algorithms and Particle Swarm Optimization. With this, we now have a scalable and real-time energy-efficient solution for future smart grid systems. • Integrated Intelligence Stack: Combines RL-ENN, T-STFREP, FL-DEO, GNNHSCO, and Q-GAN-ESO into a unified architecture for real-time control, forecasting, decentralized optimization, network routing, and synthetic scenario generation. • Real-Time, Scalable, and Privacy-Preserving: Enables adaptive energy dispatch, federated optimization without compromising data privacy, and graph-based power routing, making it suitable for large-scale, smart grid deployments. • Proven Long-Term Performance: Achieved significant improvements over traditional methods (GA, PSO) with 27.5 % lower NPC, 18.2 % reduction in COE, and 30.2 % increase in battery life, validated using 30 years of meteorological data.…”
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Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems by Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, Pradeep Kumar Singh, Komal Parashar, Ali E. Anqi, Husam Rajab, Pancham Cajla, H. Maleki

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Systematic Optimize and Cost-Effective Design of a 100% Renewable Microgrid Hybrid System for Sustainable Rural Electrification in Khlong Ruea, Thailand by Montri Ngao-det, Jutturit Thongpron, Anon Namin, Nopporn Patcharaprakiti, Worrajak Muangjai, Teerasak Somsak

“…This study presents a systematic approach to designing and optimizing a 100% renewable hybrid microgrid system for sustainable rural electrification in Khlong Ruea, Thailand, using HOMER Pro software (Version 3.15.3). …”
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Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review by Ali Azadi, Francisco José García-Peñalvo

“…Some elements influence effectiveness and efficiency, such as “data entry,” which ensures structured inputs for decision accuracy while optimizing workflows. Likewise, “alerts” provide timely information for effective decision-making and, simultaneously, are designed to avoid overwhelming users and maintain system efficiency. …”
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Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield by Wu Jiajun, Wu Zhen, Hu Ankang, Hao Yisheng, Pu Yanheng, Zhang Hui, Qiu Rui, Li Junli

“…However, the current AIS system faces limitations in complex scenarios, user-friendliness, and reliance on user experience. …”
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Study on the Optimization and Improvement of Control Strategies for Modular Multilevel Converter High Voltage Direct Current Connected to Weak Alternative Current Systems by Wankai Yang, Guoliang Zhao, Dongming Han

Subjects: “…MMC-HVDC system…”
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An Enhanced NSGA-II Algorithm with Parameter Categorization for Computational-Efficient Multi-Objective Optimization of Active Glass Curtain Wall Shading Systems by Dezhao Tang, Zhiyong Wang

“…Shading system parameters (e.g., slat width, angle, separation, and blind-to-glass distance) are classified into distinct categories based on their character and optimized sequentially. …”
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Attention-Driven Hybrid Ensemble Approach With Bayesian Optimization for Accurate Energy Forecasting in Jeju Island’s Renewable Energy System by Muhammad Ali Iqbal, Joon-Min Gil, Soo Kyun Kim

“…To address these challenges, we propose a Attention-driven Bayesian-Optimized Hybrid Ensemble Framework (ABHEF), evaluated on Jeju Island’s energy mix data. …”
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Knowledge-Based Adaptive Design of Experiments (KADoE) for Grinding Process Optimization Using an Expert System in the Context of Industry 4.0 by Saman Fattahi, Bahman Azarhoushang, Heike Kitzig-Frank

“…The KSF Grinding Expert™ system recommends optimized grinding control variables, guided by a multi-objective optimization framework using Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Gray Relational Analysis (GRA). …”
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Layout Optimization of Multi-Robot Manufacturing Processing Systems: Applications in Directed Energy Deposition–Arc Additive Manufacturing and Jig-Less Welding by Michail Aggelos Terzakis, Christos Papaioannou, Iñaki Sainz, Jonatan Rodriguez Vazquez, Panagiotis Lagios, Enrique Gil Illescas, Panagiotis Stavropoulos

“…Within this publication, a flexible, scalable, and efficient function-block-based solution is presented for the optimization of manufacturing system layouts, especially in the field of multi-robot cells in two different use cases: one in additive manufacturing and one in jig-less welding. …”
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Optimizing Nitrogen and Water Use Efficiency in Wheat Cropping Systems Through Integrated Application of Biochar and Bokashi Under Different Irrigation Regimes by Gyanendra Dhakal, Takeshi Fujino, Srijana Thapa Magar, Yuji Araki

“…The positive correlation between grain yield and WUE underscores the importance of optimizing irrigation strategies alongside soil amendments for improved crop productivity. …”
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Optimizing light extraction from non-planar site-controlled pyramidal quantum dot system: comparative modeling of three fabricable geometries by Luca Colavecchi, Gediminas Juska, Emanuele Pelucchi

“…Ultimately, we emphasize the importance of precise control over the fabrication process to optimize the performance of this QD system for future applications in quantum information processing.…”
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