Demand side management with electric vehicles and optimal renewable resources integration under system uncertainties by Mohamed Mostafa Eissa, Rania Abdel Wahed Swief, Tarek Saad Abdel Salam

“…This paper aims to investigate the effect of integrating EVs and applying peak load shifting (PLS) as a DSM strategy with the optimal allocation of distributed energy resources, specifically wind and photovoltaic (PV) systems, as distributed generators (DGs) on distribution networks. …”
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Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…These findings align with principles of spatial justice and highlight the practical efficiency of heuristic-based solutions in administrative resource allocation. The main contribution of this study is the development and evaluation of a hybrid heuristic framework for allocating INE modules, demonstrating that combining multiple heuristics—with a genetic algorithm as the initial phase—significantly improves solution quality and computational efficiency.…”
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A study of parameter aggregation algorithms for virtual power plant terminal decentralized resource scheduling characteristics in alpine regions by Yan Wang, Ruizhi Zhang, Ying Wang, Wen Xiang, Lu Wang

“…Abstract To address the “secondary dispatch” problem in alpine virtual power plants caused by uncertainties in decentralized resource allocation, we develop an algorithm for aggregating dispatch parameters of distributed resources to achieve real-time load-demand matching. …”
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Enhancing Information Freshness and Energy Efficiency in D2D Networks Through DRL-Based Scheduling and Resource Management by Parisa Parhizgar, Mehdi Mahdavi, Mohammad Reza Ahmadzadeh, Melike Erol-Kantarci

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Optimizing Transportation Costs: Enhancing Logistics Efficiency and Resource Utilization in Dynamic Environments by Cao Ngoc Anh, Tran Bich Thao, Tran Ba Hung, Trinh Thu Huong, Nguyen Viet Hung

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A heuristic mixed real-time task allocation of virtual utilization in multi-core processor by Hongbiao Liu, Mengfei Yang, Tingyu Wang, Chenghao Song, Shenghui Zhu, Xi Chen

“…Aiming at the task allocation problem when mixed real-time tasks are dynamically added, we propose a heuristic mixed real-time task allocation algorithm of virtual utilization VU-WF (Virtual Utilization Worst Fit) in multi-core processor. …”
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A Robust Multi-Objective Evolutionary Framework for Artificial Island Construction Scheduling Under Dynamic Constraints by Tianju Zheng, Liping Sun, Mingwei Li, Guangyao Yuan, Shuqi Li

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A Continuous Monitoring and Reallocation Method for Successful Decisions in Change Management by Fotios Panagiotopoulos, Vassilios Chatzis

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Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems by Heng Liu, Jingtao Zhao, Zhi Wu, Shu Zheng

“…Following this, a genetic algorithm-based solving strategy is designed to achieve the global optimal allocation of virtual inertia. …”
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Modelled Energy Cost Minimization Solution for Wireless Rechargeable Sensor Networks by Musa Ahmed, Dominic Saaityo NYITAMEN, Fatai Olatunde Adunola, Sagir Lawan

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Research on intelligent computing offloading model based on reputation value in mobile edge computing by Jin QI, Hairong SUN, Kun GONG, Bin XU, Shunyi ZHANG, Yanfei SUN

“…Aiming at the problem of high-latency,high-energy-consumption,and low-reliability mobile caused by computing-intensive and delay-sensitive emerging mobile applications in the explosive growth of IoT smart mobile terminals in the mobile edge computing environment,an offload decision-making model where delay and energy consumption were comprehensively included,and a computing resource game allocation model based on reputation that took into account was proposed,then improved particle swarm algorithm and the method of Lagrange multipliers were used respectively to solve models.Simulation results show that the proposed method can meet the service requirements of emerging intelligent applications for low latency,low energy consumption and high reliability,and effectively implement the overall optimized allocation of computing offload resources.…”
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Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin by Sheng Zhang, Yongsheng Ma, Juan Ren, Hui Liu, Lei Cui, Zizhao Fan

“…This paper developed a logical framework of “spatial accessibility-resource allocation-site optimization,” using Tianjin as a case study. …”
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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

“…In this study, a multivariate data mining-driven algorithm was used to design a teaching resource recommendation system. …”
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Resource Efficient Handover Strategy for LTE Femtocells by Sungkwan Youm, Jai-Jin Jung, Youngwoong Ko, Eui-Jik Kim

“…However, it is still challenging to properly allocate radio frequency resources in the handover procedure between a macrocell and a femtocell. …”
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Radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism by Bei TANG, Qian WANG, Siguang CHEN

“…In order to fit the differentiated energy demands in vertical markets and ensure that internet of things (IoT) devices can hold an efficient and sustainable operation mode, a radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism was studied.Specifically, a system energy consumption minimization problem was formulated under the joint optimization consideration of computation offloading decision, uplink bandwidth resource allocation, downlink bandwidth resource allocation and base station power splitting.Meanwhile, by combining the concept of penalty function, a new evaluation index was introduced, and then an adaptive particle swarm optimization-based collaborative energy saving computation offloading (APSO-CESCO) algorithm was proposed to solve the problem.The proposed algorithm constructed dynamic inertia weight and linearly adjusted penalty factor, which could alternate the spatial distribution density of the particle community in real-time during the iterative search process, and the optimal computation offloading policy with tolerable punishment could be well-generated.Furthermore, to prevent particles from exceeding exploration range, the velocity boundary was introduced which could also reduce the generation probability of invalid solutions and improve the actual exploration effectiveness.Finally, the simulation results show that the proposed algorithm can achieve higher convergence efficiency and solution accuracy, and compared with other common benchmark schemes, the system energy consumption can be reduced by 34.09%, 14.72%, and 6.86%, respectively.…”
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Interference Management in UAV-Assisted Multi-Cell Networks by Muchen Jiang, Honglin Ren, Yongxing Qi, Ting Wu

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AI-based online VoI-aware healthcare and medical monitoring task computing by Akbar Asgharzadeh-Bonab, Jalil Mazloum, Ali Nouruzi

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High efficiency algorithm of power and bit allocation for OFDMA system by ZHANG Dong-mei1, XU You-yun1, CAI Yue-ming1

“…A high efficiency algorithm of power and bit allocation for OFDMA system was propose,which including three parts: linear water-filling power allocation,bit allocation and power and bit adjustment. …”
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Enhanced zebra optimization algorithm and applications of power allocation in SDWN by LI Jiajia, DONG Ligang, JIANG Xian

“…To address the issue of interference caused by shared resources in multi-user communications in software defined wireless network (SDWN), an enhanced zebra optimization algorithm (EZOA) was proposed to achieve power allocation that maximizes the secrecy rate. …”
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Deep Reinforcement Learning Based Joint Allocation Scheme in a TWDM-PON-Based mMIMO Fronthaul Network by Yuansen Cheng, Yingjie Shao, Shifeng Ding, Chun-Kit Chan

“…The proposed scheme couples the heuristic radio resource allocation algorithm with the RL-based wavelength allocation model to optimize the fronthaul bandwidth, radio resource, and wavelength utilization efficiencies jointly in the downstream direction. …”
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