RWP-NSGA II: Reinforcement Weighted Probabilistic NSGA II for Workload Allocation in Fog and Internet of Things Environment by Hafsa Raissouli, Samir Brahim Belhaouari, Ahmad Alauddin Bin Ariffin

“…This workload is then allocated to the fog nodes. The distribution of workload between IoT devices and fog nodes should account for the constrained energy resources of the IoT device, while still prioritizing the primary objective of fog computing, which is to minimize delay. …”
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Dynamic UAV Task Allocation and Path Planning with Energy Management Using Adaptive PSO in Rolling Horizon Framework by Zhen Han, Weian Guo

“…Unmanned aerial vehicles (UAVs) are increasingly deployed in dynamic environments for applications such as surveillance, delivery, and data collection, where efficient task allocation and path planning are critical to minimizing mission completion time while managing limited energy resources. …”
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Facility location problem for senior centers in an upcoming super-aging society by Eun Hak Lee, Jonghwa Jeong

“…The elbow method is employed to identify the optimal number of new centers, balancing service accessibility and resource allocation. Open data sources, i.e., floating population and geographic information in Seoul, are used to estimate demand at various locations. …”
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Runtime Scheduling, Allocation, and Execution of Real-Time Hardware Tasks onto Xilinx FPGAs Subject to Fault Occurrence by Xabier Iturbe, Khaled Benkrid, Chuan Hong, Ali Ebrahim, Tughrul Arslan, Imanol Martinez

“…Computation-specific pieces of circuitry are dynamically scheduled and allocated to different resources on the chip based on a set of novel algorithms which are described in detail in this article. …”
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Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning by Ming Sun, Yihe Zhong, Xiaoou He, Jie Zhang

“…Nevertheless, it is challenging to find the near-optimal allocation of the channel and power resources to maximize the performance of the multi-cell NOMA system. …”
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Opportunities of machine learning algorithms for education by Olga Ovtšarenko

“…The results of the study show that machine learning algorithms can be used to process the available e-course log data, using the clickstream of e-course resources and for their automated processing. …”
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Power allocation satisfying user fairness for integrated sensing and communication system based on orthogonal time frequency space modulation by Ke XU, Luping XIANG, Jie HU, Kun YANG

“…By sharing resources for radar sensing and communications, integrated sensing and communication (ISAC) has promising applications in diverse scenarios, such as human-machine interface, vehicle-to-everything (V2X), remote sensing, and environment surveillance.In order to resolve the frequency resource conflict in high-speed V2X networks, based on the modulation orthogonal time frequency (OTFS), the OTFS-ISAC system was proposed, where the base station receives reflected echoes to obtain sensing parameters of vehicle motion and then establish the vehicle’s mobile topology.Additionally, in terms of the multi-vehicle network, the design of OTFS-ISAC with NOMAsatisfying the fairness and the algorithm of power allocation were proposed.Simulations show that compared with the NOMA without radar sensing system, the proposed design improves the system data rate by 25%.…”
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An Integrated Electricity–Gas–Heat Energy System Based on the Synergy of Long- and Short-Term Energy Storage by Min Zhang, Jinhao Wang, Huiqiang Zhi, Jun Zhao, Xiao Chang, Shifeng Zhang, Xiangyu Guo, Tengxin Wang

“…Firstly, an adaptive noise integration empirical modal decomposition method based on the optimization improvement of the grey wolf algorithm is designed for the power allocation strategy of the hybrid energy storage system; secondly, for the electric–gas system, an energy management strategy for the hybrid electric–gas energy storage system, taking into account the operating characteristics of the alkaline electrolyzer, is proposed in order to strengthen the complementary mechanism between electric energy storage and gas energy storage. …”
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A method to manage the energy consumption of cloud centers for predictability in neuro-fuzzy networks by Ying Zhang

“…The proposed model leverages neuro-fuzzy networks for accurate workload predictions to achieve efficient real-time resource allocation and VM migration strategies that minimize energy waste. …”
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CONCEPT OF FINANCIAL FLOW MANAGEMENT OF ENTERPRISE CORPORATE SECURITY SYSTEM by Olena Sergienko, Nataliia Volosnikova, Natalia Reshetniak, Maryna Mashchenko, Valeria Baranova

“…Material flow management optimization as a key aspect of logistics activities is considered, which is achieved by attracting and allocating financial resources and realized in the financial flows of integrated logistics processes at enterprises. …”
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A Hierarchical Control Framework for Coordinating CAV-Dedicated Lane Allocation and Signal Timing at Isolated Intersections in Mixed Traffic Environments by Feng Chen, Cunbao Zhang, Yu Cao

“…The framework employs two collaborative agents based on the dueling double deep Q-network (D3QN) algorithm. The upper-level agent recommends optimal CAV-DLs configurations based on long-term traffic flow patterns, while the lower-level agent focuses on real-time signal control by adjusting signal parameters and green time allocations in response to current traffic demand. …”
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Next-Gen Internet of Drones: Federated Learning and Digital Twin Synergy for Energy-Efficient Task Allocation and Seamless Service Migration by Ahmad Arsalan, Tariq Umer, Rana Asif Rehman, Byung-Seo Kim

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Stochastic Explicit Calibration Algorithm for Survival Models by Jeongho Park, Sangwook Kang, Gwangsu Kim

“…In addition, we highlight how improved calibration can improve downstream tasks, including optimizing resource allocation and improving patient care decisions. …”
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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…Secondly, to improve the performance of the smart classroom system, convex optimization theory was utilized to optimize the allocation of system resources. Finally, through verification, the multiple resources joint optimization method of the smart classroom system can effectively reduce the maximum delay of device data collection and processing, greatly improve the real-time performance of emotional computing in the smart classroom system, and avoid blindly pursuing the minimum average delay, effectively avoiding the situation where a single user experienced poorly due to poor real-time performance. …”
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Research of embedding algorithm for wireless network virtualization by Bin CAO, Shi-chao XIA, Fang HE, Yun LI

“…Wireless network virtualization has become one of the promising techniques in fifth generation mobile networks (5G),and the virtual network embedding plays a very important role.A model was formulated to describe the problem and a wireless virtual network embedding algorithm based on joint bandwidth and power allocation (WVNEA-JBP) was put forward,which selected the suitable node and path to serve the data transmission from virtual networks.In order to minimize the overhead while satisfy the higher capacity request,this algorithm considered the impact of interference of wireless links and supports path splitting.A case study was introduced to show how WVNEA-JBP to work.Furthermore,simulation results show that WVNEA-JBP is able to accomplish the efficient utilization of network resources and improve the accept rate of virtual network requests.…”
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Research of embedding algorithm for wireless network virtualization by Bin CAO, Shi-chao XIA, Fang HE, Yun LI

“…Wireless network virtualization has become one of the promising techniques in fifth generation mobile networks (5G),and the virtual network embedding plays a very important role.A model was formulated to describe the problem and a wireless virtual network embedding algorithm based on joint bandwidth and power allocation (WVNEA-JBP) was put forward,which selected the suitable node and path to serve the data transmission from virtual networks.In order to minimize the overhead while satisfy the higher capacity request,this algorithm considered the impact of interference of wireless links and supports path splitting.A case study was introduced to show how WVNEA-JBP to work.Furthermore,simulation results show that WVNEA-JBP is able to accomplish the efficient utilization of network resources and improve the accept rate of virtual network requests.…”
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IMSBA: A Novel Integrated Sensing and Communication Beam Allocation Based on Multi-Agent Reinforcement Learning for mmWave Internet of Vehicles by Jinxiang Lai, Deqing Wang, Yifeng Zhao

“…To address these challenges, this paper proposes an integrated sensing and communication (ISAC) beam allocation algorithm, termed IMSBA, which jointly optimizes beam direction, transmission power, and spectrum resource allocation to effectively mitigate the interference between I2V and V2V while maximizing the overall network performance. …”
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DIDADTIC TOOLS FOR THE STUDENTS’ ALGORITHMIC THINKING DEVELOPMENT by T. P. Pushkaryeva, T. A. Stepanova, V. V. Kalitina

“…Stages to mastering a new discipline are allocated. It is proved that for development of AT skills when training in programming it is necessary to use kinesthetic tools at the stage of mental algorithmic maps formation; algorithmic animation and algorithmic mental maps at the stage of algorithmic model and conceptual images formation. …”
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Optimizing grid-dependent and islanded network operations through synergic active-reactive power integration by Zohaib Hussain Leghari, Dalila Mat Said, Mazhar Baloch, Pervez Hameed Shaikh, Hafiz Mudassir Munir, Radomir Gono, Tomas Novak, Petr Moldrik

“…The first stage proposes an improved Jaya algorithm (IJaya) to optimize DG and SCB allocation during grid-connected operation, aiming to reduce power loss and improve voltage profiles. …”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…By utilizing past prior knowledge to estimate the probability of function value changes, offspring allocation is dynamically adjusted, optimizing resource utilization. …”
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