A multi-objective optimization framework based on information sharing for serially connected robot design by Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao

“…The two-robot controller can zero-shot generalize various sizes of serially connected robots, ensuring good motion coordination while significantly reducing the cost of control optimization. …”
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Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry by Md Sanowar Hossain, Hafiz Abdul Quddus, Ziya Cevahir, Alexander Jesser

“…These findings highlight the potential of AI-optimized zonal E/E architectures to significantly reduce wiring weight, complexity, and design effort while maintaining system performance and cost competitiveness, providing valuable insights for next-generation automotive E/E design.…”
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Installation of an Electric Car Charger Using the Bald Eagle Optimizer Cascaded PI and LQR Controller by Ali Huzbur Hussien, Khalid Mohammed Ameen Alazawi

“…It enhances the significant power factor of the power source while minimizing distortion from harmonics. The Golden Eagle optimization methods are employed to enhance the setting of Proportional-Integral (PI) and Linear Quadratic Regulator (LQR) controller settings for improved conversion efficiency. …”
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Scalable Cold-Start Optimization in Serverless Computing: Leveraging Function Fusion With PanOpticon Simulator by Ranjan Kumar Behera, Anisha Kumari, Sung-Bae Cho

“…Unlike conventional frameworks, the proposed method integrates function fusion directly into the simulation and evaluation pipeline, enabling more scalable and performance-aware optimizations. …”
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A Prescribed-Time Consensus Algorithm for Distributed Time-Varying Optimization Based on Multiagent Systems by Yanling Zheng, Siyu Liu, Jie Zhong

“…A novel continuous-time distributed optimization algorithm is developed based on prescribed-time consensus, guaranteeing the consensus attainment among agents within a user-defined timeframe while asymptotically converging to the time-dependent optimal solution. …”
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AI-driven optimization of bioremediation strategies for river pollution: a comprehensive review and future directions by Allen-Adebayo Blessing, Kehinde Olateru

“…This narrative review explores the transformative potential of artificial intelligence (AI) in optimizing bioremediation systems for river pollution control while addressing the challenges and limitations associated with its implementation. …”
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Optimizing the Blue Ocean Strategy to Enhance Innovation, Customer Satisfaction, and Business Performance at Cafe Camellia by Ida Ayu Gede Wiwik Purnamayanti, Ketut Gede Sri Diwya, Ida Bagus Ketut Surya Arnawa, Made Vera Kristanti Dewi

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Research progress on influencing factors and control methods of slagging in biomass combustion by Jiyi Luan, Qi Wang, Dongwei Shao, Bo Cui, Ping Han, Qiang He

“…These insights provide mechanistic understanding essential for optimizing combustion system durability, while highlighting unresolved challenges in fuel-additive compatibility, additive stability under thermal cycling, and advanced corrosion-resistant material development.…”
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Optimal Distribution Planning of Solar Plants and Storage in a Power Grid with High Penetration of Renewables by Pere Colet, Benjamín A. Carreras, José Miguel Reynolds-Barredo, Damià Gomila

“…When applied to the Balearic Islands grid, this method identifies generation and storage layouts that minimize storage requirements while maintaining reliability levels comparable to conventional power systems. …”
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Optimizing navigation and chemical application in precision agriculture with deep reinforcement learning and conditional action tree by Mahsa Khosravi, Zhanhong Jiang, Joshua R. Waite, Sarah E. Jones, Hernan Torres Pacin, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

“…The framework employs a hierarchical decision-making structure with conditional action masking, where high-level actions guide the robot's exploration, while low-level actions optimize its navigation and efficient chemical spraying in affected areas. …”
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Optimized spray-drying of zinc sulfate-loaded liposomes: physicochemical characterization and in vitro release assessment by Monireh Abbassi, Samad Nejad Ebrahimi, Masoud Rahimi

“…Zinc-loaded liposomes were prepared via the thin-film hydration method and spray-dried under optimized conditions. …”
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Design optimization and precision requirements of an endcap ion trap for single-ion optical clock applications by Chaowei Wang, Shaoyang Dai, Yani Zuo, Fang Fang

“…In this study, the finite element analysis method was employed to simulate the relationship between the electric field distribution and the dimensions of the electrodes in an endcap ion trap. …”
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Noise Analysis and Modulation Optimization for Nonlinear Visible Light Communication System With Signal-Dependent Noise by Jiaqi Wei, Yuan Wang, Chen Gong, Nuo Huang

“…Based on the experimental results, a modulation optimization method is proposed for the VLC system with SDN. …”
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Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

“…Case studies conducted using real-world data from a large-scale Chinese coal mine demonstrate that the method achieves a 17.6% reduction in total transportation mileage, decreases charging events by 60%, and reduces vehicle usage by approximately 33%, all while completely eliminating time window violations. …”
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Design and Electromagnetic Performance Optimization of a MEMS Miniature Outer-Rotor Permanent Magnet Motor by Kaibo Lei, Haiwang Li, Shijia Li, Tiantong Xu

“…In this study, an ultra-thin outer-rotor motor with 3D MEMS silicon-based coils and a MEMS-compatible manufacturing method for the 3D coils is presented. Additionally, finite element simulations are conducted for the thin-film topology around the air gap to optimize performance characteristics such as torque developed, torque pulsations, and back electromotive force amplitude. …”
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Optimizing resource allocation in remote healthcare via blockchain-enabled decentralized networks and spectral clustering by A. Kanimozhi, K. Vidya

“…The proposed system utilizes the InterPlanetary File System (IPFS) to handle resource requests transparently and securely, while spectral and agglomerative clustering algorithms are employed to optimize delivery routes. …”
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A study of morpho-phonological processes in the Zanjani dialect of Azerbaijani Turkish based on optimality theory by farnaz ebadi, Mohammad Reza Oroji, Sakine Jafari, Mehri Talkhabi

“…Two types of constraints are examined in this theory: Markedness Constraint and Faithfulness Constraint. Optimality Theory is a method of interpreting constraints, which can be used as a tool in linguistic theories. …”
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Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability by Yujiao Zeng, Yanguang Sun

“…This study presents a novel hybrid multiobjective particle swarm optimization (HMOPSO) algorithm to solve the optimal reactive power dispatch (ORPD) problem. …”
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Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer by Laura Sofía Avellaneda-Gómez, Brandon Cortés-Caicedo, Oscar Danilo Montoya, Jesús M. López-Lezama

“…A leader–followeroptimization framework is adopted, where the leader stage utilizes the Generalized Normal Distribution Optimization (GNDO) algorithm to generate candidate solutions, while the follower stage conducts power flow calculations through successive approximation to assess the objective value. …”
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Experimental Study on Optimal Clean Air Delivery Rate Filter Thickness of Indoor Air Purifiers by Cindy Lin, Yu-Mei Kuo, Maxie Lin, Jason Lin, Pei-Yao Tsai, Chih-Wei Lin, Sheng-Hsiu Huang, Chih-Chieh Chen

“…The findings recommend slightly reducing filter thickness below the optimal CADR thickness to prolong filter life while maintaining effectiveness. …”
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