Dynamic Grouping Control of BESS for Remaining Useful Life Extension and Overall Energy Efficiency Improvement in Smoothing Wind Power Fluctuations by Yang Yu, Dongyang Chen, Yuwei Wu, Boxiao Wang, Yuhang Huo, Wentao Lu, Zengqiang Mi

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Enhancing Radial Distribution System Performance Through Optimal Allocation and Sizing of Photovoltaic and Wind Turbine Distribution Generation Units with Rüppell’s Fox Optimizer... by Yacine Bouali, Basem Alamri

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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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Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network by Qiuhui Wang, Qiong Ran, Ke Zheng, Jiaxin Li

“…Furthermore, to enhance the geometric consistency of DVPM during the process of cross-scale feature fusion of geophysical features, we design the Multi-Dimensional Perceptual Attention Module (MDPA), which integrates channel and spatial domain information enhancement techniques for precise feature identification and optimized pixel-level resource allocation. To comprehensively evaluate the performance advantages of MKAN, we conducted thorough experimental assessments on three datasets and benchmarked it against five spatiotemporal fusion algorithms. …”
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Joint Optimization Strategy of Task Migration and Power Allocation Based on Soft Actor-Critic in Unmanned Aerial Vehicle-Assisted Internet of Vehicles Environment by Jingpan Bai, Yifan Zhao, Bozhong Yang, Houling Ji, Botao Liu, Yunhao Chen

“…First, communication models, computational resource allocation models, and computation models are established sequentially based on the computational resource and dynamic coordinate of each node. …”
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5G network slicing algorithm based on prediction by Jiageng ZHANG, Min ZHU, Feng DU, Qi WANG, Jun LIU, Zhihai SUO, Li WANG

“…5G on line scenario needs short build time of network slice, it can use prediction algorithm to isolate network resource in advance to reduce the construction time of network slice.A 5G network slicing algorithm based on prediction was proposed, which used fourth square as cost function to predict the network resource requests with accepted accurate and lower complexity of algorithm.And then based on the prediction result, virtual nodes and links resource were allocated, and container was pulled up when network slice request arrives to network, the dynamic creation of network slices was completed.The simulation results show that the proposed algorithm can get 90% accurate of prediction, and reduce 50% construction time of network slice, and improve the network utilization ration，when new network slice reusing the original network slice.…”
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Overhaul Scheduling Approach for Metro Vehicles Based on Genetic Algorithms by WANG Bingjing, LI Bingxin

“…In this scheduling approach, an evaluation function is applied to transform the train overhaul scheduling into the tasks to optimize the resource allocation for the overhaul process, and the resource allocation to the overhaul process is optimized leveraging the inherent parallelism and global optimization ability of the genetic algorithm, and the optimal chromosome is deemed as the final result of the overhaul scheduling. …”
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Optimized Dual-Battery System with Intelligent Auto-Switching for Reliable Soil Nutrient Monitoring in Remote IoT Applications by Doan Perdana, Pascal Lorenz, Bagus Aditya

“…The proposed system integrates Lithium-Sulphur (Li-S) and Lithium-Ion (Li-Ion) batteries with advanced switching algorithms—specifically, the Dynamic Load Balancing–Power Allocation Optimisation (DLB–PAO) and Dynamic Load Balancing–Genetic Algorithm (DLB–GA)—tailored to maximise sensor operational longevity. …”
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Computation task offloading algorithm and system level simulation for vehicles by Qicheng ZENG, Yuxuan SUN, Sheng ZHOU

“…With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving,but also provide a wide range of edge computing services.Aiming at the task offloading among vehicles,a distributed task offloading algorithm based on online learning was proposed to minimize the average offloading delay.Furthermore,a system-level simulation platform was built to evaluate the impact of vehicle density and number of tasks on the average offloading delay in both highway and urban scenarios.The results provide a reference for the resource allocation and deployment of task offloading in different traffic situations.…”
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Study on network reconfiguration algorithms in software-defined sensor networks by Lian-feng SHEN, Ya-ping ZHU, Zhao-ming DING, Feng YAN, Shu-guang DENG

“…Simulation results show that the proposed routing algorithm can efficiently allocate resources to satisfy the requirements of multi-service's QoS and to prolong the lifetime of network.…”
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(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

“…In multi-class attack identification scenarios, the framework mitigates feature confusion between rare attacks (e.g., user-to-root attacks) and normal traffic through adaptive feature weight allocation. This study further validates the potential of swarm intelligence algorithms in the field of IoT security, offering a novel methodological foundation for efficient threat detection in resource-constrained environments.…”
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Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis by Salman Mahmood, Nor Adnan Yahaya

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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

“…Beyond medicine, the integration of machine learning algorithms in liver cirrhosis prediction could have broader socio-economic implications, including enhanced resource allocation and healthcare delivery optimization.…”
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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

“…Its ability to reduce diagnostic delays, improve classification accuracy, and optimize resource allocation make it a promising tool for integrating artificial intelligence into psychiatric care. …”
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From algorithms to negotiations: Why health diplomacy must adapt. by Brian Li Han Wong, Garry Aslanyan, Warisa Panichkriangkrai, Ricardo Baptista Leite, Jemilah Mahmood, Anders Nordström

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Anti-Jamming RIS Communications Using DQN-Based Algorithm by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…To this end, we formulate an anti-jamming communication optimization problem as a Markov decision process (MDP) framework and then design a deep Q network (DQN)-based algorithm to generate an optimal policy. As a result, the optimal resource allocation is achieved through trial-and-error interactions with environment by observing the predefined rewards and the network state transition. …”
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A Multiconstrained Grid Scheduling Algorithm with Load Balancing and Fault Tolerance by P. Keerthika, P. Suresh

“…A scheduling algorithm is said to be efficient if and only if it performs better resource allocation even in case of resource failure. …”
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An Improved Coral Reef Optimization-Based Scheduling Algorithm for Cloud Computing by Shuzhen Wan, Lixin Qi

“…In this paper, we establish a resource allocation framework and propose a novel task scheduling algorithm. …”
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Application of improved clustering algorithm in mixed teaching of modern educational technology by Lei Shu, Guirong Li

“…The improved clustering algorithm demonstrates high precision and flexibility, enabling accurate resource allocation, effective teaching content, and targeted pacing adjustments based on students’ learning progress. …”
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A Novel UCAN Power Control Algorithm Based on the Stackelberg Game by Huaping Chen, Zhiyu Wang, Zhongyang He, Guoqiang Li

“…In this paper, A novel UnderWater Cognitive Acoustic Sensor Network(UCANs) power control algorithm based on the Stackelberg game is proposed to solve the problems of low system capacity, high inter-node interference, and poor communication quality due to unreasonable power allocation when Under Water Acoustic Sensor Networks (UASNs) share spectrum resources. …”
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