Study and Implementation of Multi-GPU Parallel Algorithm for 3D Borehole Acoustic Field Simulation by WANG Hua, HE Weibing, QIANG Xiaoyong, WANG Qiang, HUANG Fang, LI Meng

“…Using the simulation of ultrasonic guided waves in a cased well as an example, the algorithm efficiently divides the model, allocates resources, and coordinates computations to leverage the computational power of multiple GPUs. …”
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A Stackelberg game based content caching algorithm in energy-harvesting small cell networks by Xueting WANG, Qi ZHU, Han HU

“…To improve the users' satisfaction of download files, a caching based resource allocation algorithm in energy-harvesting small cell networks was proposed, which was established as a Stackelberg game that jointly optimized user accessing and small cells' content updating. …”
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Dynamic optimal scheduling of airport special vehicles in complex operating environment by Yonghong Liu, Min Peng, Zhihong Zhang, Jicheng Yang

“…This study focuses on the refueling vehicle as a case study and develops a dual-objective mixed integer programming model aimed at minimizing both the number of vehicles required and the total time spent on waiting, driving, and resource supplementation for special vehicles. An iterative algorithm, integrating the rolling time domain approach with the multi-chromosome band elite strategy from the non-dominated sorting genetic algorithm (NSGA-Ⅱ), is designed to solve the model. …”
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Quantum Approximate Optimization Algorithm for the Max-Cut Problem: JavaScript Programming Language Implementation by Dmytro Sapozhnyk

“…The Max-Cut issue, which involves partitioning the vertices of a graph into two subsets such that the number of edges between the subsets is maximized, is a well-known NP-hard difficulty with numerous practical applications, including network design and resource allocation. The implementation of QAOA in JavaScript is a significant step towards integrating quantum computing with modern web technologies, thus broadening access to quantum algorithms among software developers. …”
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A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios by Ankita Tondwalkar, Andres Kwasinski

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Optimizing protein-ligand docking through machine learning: algorithm selection with AutoDock Vina by Ala’ Omar Hasan Zayed

“…Abstract Context Understanding protein-ligand interactions is fundamental to drug design, where optimizing docking parameter selection can potentially enhance computational efficiency and resource allocation in virtual screening. While numerous algorithms exist for protein-ligand docking, achieving an optimal balance between accuracy and computational speed remains challenging. …”
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Enhancing Youbike Redistribution System: A Study on Station Recommendation Using a Genetic Algorithm by Yang-Chou Juan, Yi-Chung Chen, Wei-Ting Chen, Chieh Yang, Chia-Tzu Liu, Yi-Ci Hou, Yi-Hsuan Tsai

“…This study proposes a novel approach to optimize YouBike allocation under resource constraints. We first used K-means clustering to group stations with similar rental profiles, reducing the number of models needed. …”
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Secure transmission for NOMA downlink based on short packet communication by Gangcan SUN, Shaoke ZHAO, Wanming HAO, Zhengyu ZHU

“…For the low-latency requirements of Internet of things (IoT) business, short packet communication (SPC) and non-orthogonal multiple access (NOMA) were combined to study the problem of secure transmission in the multi-user NOMA system with eavesdroppers.With the maximizing the secure throughput of weak uses as the objective, considering the user decoding error probability constraint, total power constraint and power allocation constraint, a low-complexity power allocation algorithm was proposed to realize secure transmission.In order to solve the problem caused by complex objective function formula and unreliable serial interference cancellation (SIC) technology, the proof that the compactness of the constraints was necessary to find the optimal solution.Under the constraint of maximum decoding error probability, the power constraint was transformed and calculated to obtain the strict limit of transmitting power for strong users, and the transmit power search set from base station to strong user was derived.Then, the one-dimensional search algorithm was used to allocate power resources to maximize the throughput of weak users.Simulation results prove that the proposed algorithm can effectively improve the security throughput of weak users in the system.…”
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Secure transmission for NOMA downlink based on short packet communication by Gangcan SUN, Shaoke ZHAO, Wanming HAO, Zhengyu ZHU

“…For the low-latency requirements of Internet of things (IoT) business, short packet communication (SPC) and non-orthogonal multiple access (NOMA) were combined to study the problem of secure transmission in the multi-user NOMA system with eavesdroppers.With the maximizing the secure throughput of weak uses as the objective, considering the user decoding error probability constraint, total power constraint and power allocation constraint, a low-complexity power allocation algorithm was proposed to realize secure transmission.In order to solve the problem caused by complex objective function formula and unreliable serial interference cancellation (SIC) technology, the proof that the compactness of the constraints was necessary to find the optimal solution.Under the constraint of maximum decoding error probability, the power constraint was transformed and calculated to obtain the strict limit of transmitting power for strong users, and the transmit power search set from base station to strong user was derived.Then, the one-dimensional search algorithm was used to allocate power resources to maximize the throughput of weak users.Simulation results prove that the proposed algorithm can effectively improve the security throughput of weak users in the system.…”
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Enhancing 5G Vehicular Edge Computing Efficiency with the Hungarian Algorithm for Optimal Task Offloading by Mohamed Kamel Benbraika, Okba Kraa, Yassine Himeur, Khaled Telli, Shadi Atalla, Wathiq Mansoor

“…HATO leverages 5G’s low-latency, high-bandwidth communication to efficiently allocate tasks across edge servers and nearby vehicles, utilizing the Hungarian algorithm for optimal task assignment. …”
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A Two-Stage Bin Packing Algorithm for Minimizing Machines and Operators in Cyclic Production Systems by Yossi Hadad, Baruch Keren

“…The outcomes demonstrate the effectiveness of the proposed algorithm in optimizing resource utilization by reducing the number of machines and operators required. …”
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Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems by Ruchika Bhakhar, Rajender Singh Chhillar

“…DMCS dynamically allocates tasks based on criteria such as computational complexity, urgency, and data size, ensuring that time-sensitive tasks are processed swiftly on fog nodes while resource-intensive computations are handled by cloud data centers. …”
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PERFORMANCE ANALYSIS OF TASK SCHEDULING USING HYBRID GENETIC MODIFIED WHALE OPTIMIZATION ALGORITHM IN CLOUD COMPUTING by S. Kavitha, G. Paramasivam

“…In this paper, the Hybrid Genetic Modified Whale optimization algorithm which is a combined Genetic and Modified Whale optimization algorithm to analyze the performance of the cloud computing system such as task completion time, execution cost, speedup, and efficiency with proper allocation and sharing of resources The performance of the proposed algorithm is compared with Genetic algorithm and Whale optimization algorithm. …”
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Optimization of artificial intelligence in localized big data real-time query processing task scheduling algorithm by Maojin Sun, Luyi Sun

“…However, in the process of big data processing, the allocation of information resources is often unreasonable, leading to a decrease in efficiency. …”
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Programmable composite pipeline structure supporting scheduling of integrated network and computing by HOU Saifeng, CUI Pengshuai, HU Yuxiang, DONG Yongji, LIU Yi

“…The heterogeneous resource allocation strategy was solved based on resource pricing and cooperative game to realize the flexible scheduling of computing and network resources in the process of data forwarding. …”
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Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA by S. V. Aswin Kumer, N. Prabakaran, E. Mohan, Balaji Natarajan, G. Sambasivam, Vaibhav Bhushan Tyagi

“…The study evaluates the proposed algorithm’s performance in terms of the make span, resource utilization, cost, response time, throughput, latency, execution time, speed, and bandwidth utilization. …”
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The use of artificial neural network algorithms to enhance tourism economic efficiency under information and communication technology by Yun Tian, Xiaojie Tang

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A Review of Robot Fleet Management by Paulo H. C. Morais, Kelen C. T. Vivaldini, Edilson R. R. Kato, Roberto S. Inoue

“…Challenges, such as dynamic interaction management and scalability, were examined, emphasizing the practical validation of algorithms and the integration of heterogeneous fleets. …”
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An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

“…As renewable energy continues to penetrate modern power systems, accurate short-term load forecasting is crucial for optimizing power generation resource allocation and reducing operational costs. …”
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Rapid Beam Forming in Smart Antennas Using Smart-Fractal Concepts Employing Combinational Approach Algorithms by Mounissamy Levy, Sumanta Bose, D. Sriram Kumar, Anh Van Dinh

“…The important properties of fractal arrays are frequency independent multiband characteristics, schemes for realizing low side lobe designs, systematic approaches to thinning, and the ability to develop rapid beam forming algorithms. In this paper, an attempt has been made to apply assignment of usage time and location tag algorithm for smart antennas combined with the fractal concepts to reduce the computational complexity and enhance resource allocation for rapid beam forming algorithms. …”
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