Two-Stage Locating and Capacity Optimization Model for the Ultra-High-Voltage DC Receiving End Considering Carbon Emission Trading and Renewable Energy Time-Series Output Reconstru... by Lang Zhao, Zhidong Wang, Hao Sheng, Yizheng Li, Tianqi Zhang, Yao Wang, Haifeng Yu

“…Then, a carbon emission trading cost (CET) model is constructed based on the CET mechanism, and the two-stage locating and capacity optimization model for the UHV DC receiving end is proposed under the constraint of dispatch safety and stability. …”
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Restoration of Power Systems with AC/DC Conversion Terminal at Receiving-End Considering Parallel Transmission Lines by Erbin ZANG, Xueping GU, Pengfei LI, Chao YANG, Shaoyan LI, Chen WU

“…Then hybrid particle swarm optimization is adopted to solve the problem of power system restoration, which is characterized by various constraints. …”
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Real-time cooperative voltage regulation strategy of distribution network based on approximate dynamic programming by Jingjing Gu, Mingyu Guo, Ruijie Li, Jihe Xu, Yanyi Ye, Zhizhong Hu, Shichang Cui

“…Firstly, an optimization model of the electric vehicle clusters considering the charging location and power is established, and the traditional on-load voltage regulator of distribution networks is also considered along with network operational constraints. …”
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Enhanced Black-Winged Kite Algorithm for Drone Coverage in Complex Fruit Farms by Jian Li, Shengliang Fu, Weijian Zhang, Haitao Fu, Xu Fang, Zheng Li

“…Subsequently, by proposing coverage task cost functions, flight safety cost functions, and path length cost functions, the coverage challenge in complex-shaped areas is redefined as a challenge involving multiple constraints. To optimize this problem, we introduce a DWBKA that incorporates a Dynamic Position Balancing strategy and a modified Whale Random Walk strategy, thereby enhancing its global search capability and avoiding local optima traps. …”
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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

“…This study introduces an innovative method to analyze the waveforms of fault signals, utilizing advances in Internet and sensor technologies that provide extensive voltage and current data in a time-series form. By optimizing each phase of data processing from feature extraction to model learning, the proposed system effectively addresses fault detection, classification, and localization as a multi-classification problem. …”
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Preliminary validation for an online configuration determination method of a thin film buckling under point contact force by Yeoun-Jae Kim, Daehan Wi

“…The overall thin film configuration determination problem is formulated as a constrained optimization problem, involving five variables and five equality constraint functions. …”
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Unmanned aerial vehicle control in the task of mobile ground object tracking by A. A. Lobaty, P. V. Kholod

“…The article is devoted to solving the problem of analytical determination of optimal control and synthesis of the trajectory of an unmanned aerial vehicle (UAV) when tracking a moving ground object (GO). …”
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Reliability-Based Optimum Design of Dome Truss Structures through Enhanced Vibration Particle System by Pedram Hosseini, Nasibeh Hatami, Seyed Rohollah Hoseini Vaez

“…Although there have been several theoretical advances in reliability analysis, computational barriers still occur in realistic problems. The purpose of this paper is to provide a process for the optimization of dome truss structures based on reliability. …”
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Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network by Peinan Fan, Yixun Xue, Haotian Zhao, Xinyue Chang, Jia Su, Ke Wang, Hongbin Sun

“…Due to the binary switching variables in the second stage of the proposed ARO problem, classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is proposed. …”
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Economic and environmental power dispatch for energy management systems applied to microgrids with wind energy resources and battery energy storage systems by Jhon Montano, John E. Candelo-Becerra, Cristian Escudero-Quintero, Juan Pablo Guzmán

“…To solve this problem, four metaheuristic optimization algorithms were implemented: Enhanced Prairie Dog Optimization (EPDO), Salp Swarm Algorithm (SSA), Generalized Normal Distribution Optimization (GNDO), and Crow Search Algorithm (CSA). …”
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OVERVIEW OF MACHINE LEARNING METHODS FOR ACADEMIC SCHEDULING by O. Zanevych, Vitaliy Kukharskyy

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Task Allocation Method for Emergency Active Debris Removal Based on the Fast Elitist Non-Dominated Sorting Genetic Algorithm by Hao Lei, Xiang Zhang, Wenhe Liao, Guoning Wei, Shuhui Fan

“…In order to address the heterogeneous problem of satellites and task coupling constraints, a multi-type chromosome coding strategy is developed. …”
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VNE-AFS:virtual network embedding based on artificial fish swarm by Qiang ZHU, Hui-qiang WANG, Hong-wu LV, Zhen-dong WANG

“…Recently virtual network embedding problem had been proposed as a research challenge in the cloud computing environment.In order to reduce the costs,a virtual network embedding algorithms based on artificial fish swarm(VNE-AFS)was proposed.A binary combinatorial optimization model was built according to the constraints on nodes and links between virtual network and substrate network,and the artificial fish swarm algorithm was used to achieve the approximate optimal mapping.The simulation results indicate that the costs of substrate network and computation time are reduced and the success rate,average revenue of embedding and average usage of links are increased compared with the existing virtual network embedding algorithms.…”
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An Automated Decision Support System for Portfolio Allocation Based on Mutual Information and Financial Criteria by Massimiliano Kaucic, Renato Pelessoni, Filippo Piccotto

“…This paper introduces a two-phase decision support system based on information theory and financial practices to assist investors in solving cardinality-constrained portfolio optimization problems. Firstly, the approach employs a stock-picking procedure based on an interactive multi-criteria decision-making method (the so-called TODIM method). …”
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Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

“…This study addresses the optimization of the Vehicle Routing Problem (VRP) with prioritized customers by introducing and comparing two advanced solution approaches: a metaheuristic-based hyperheuristic framework and a Variational Autoencoder (VAE)-based hyperheuristic. …”
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Differentiated Energy Storage Planning Method of Provincial Power Grids Based on Multi-partition Time Series Production Simulation by Qian DAI, Jian ZHANG, Junling WU, Libo ZHANG, Xiaohui QIN, Yantao ZHANG, Yanqin NIU

“…Then according to this software, an optimal configuration method for energy storage capacity is proposed, with the minimum investment cost of energy storage as the objective function, after considering the differences in assessment objectives and tie-line transaction constraints of each partition. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir, Aiman Erbad, Bechir Hamdaoui, Samir Brahim Belhaouari, Mohsen Guizani, Thang X. Vu

“…However, the IIoT inference distribution raises challenges in ensuring reliable data transmission with minimal latency while respecting the practical UAVs’ constraints. To address these issues, we formulate the problem of CNN layer distribution and UAV trajectory planning (LDTP) as an optimization problem to improve latency, reliability, and resource usage. …”
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Artificial noise-aided robust secure information and power transmission scheme in heterogeneous networks with simultaneous wireless information and power transfer by Bo ZHANG, Kaizhi HUANG, Zhou ZHONG, Yajun CHEN

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Artificial noise-aided robust secure information and power transmission scheme in heterogeneous networks with simultaneous wireless information and power transfer by Bo ZHANG, Kaizhi HUANG, Zhou ZHONG, Yajun CHEN

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Characterization Results of Extremization Models with Interval Values by Savin Treanţă, Omar Mutab Alsalami

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