Emergency Scheduling Optimization Simulation of Cloud Computing Platform Network Public Resources by Dingrong Liu, Zhigang Yao, Liukui Chen

“…An emergency scheduling method of cloud computing platform network public resources based on genetic algorithm is proposed. …”
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Multidimensional Resource Task Scheduling Based on Particle Swarm Optimization in Edge Computing by Zhonglu Zou, Zhuxin Zhai, Xin Yan, Zilin You, Liming Chen

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Robust Task Offloading and Trajectory Optimization for UAV-Mounted Mobile Edge Computing by Runhe Wang, Yang Huang, Yiwei Lu, Pu Xie, Qihui Wu

“…As a countermeasure, the original optimization is recast as subproblems related to task offloading and trajectory planning and solved by a novel robust iterative optimization algorithm that combines the methods of weighted minimum mean square error, S-procedure, successive convex approximation, etc. …”
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Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving by Xiaohua Gu, Taifu Li, Zhiqiang Liao, Liping Yang, Ling Nie

“…To address this issue, a novel intelligent computing based method is proposed in this paper. It firstly employs the general regression neural network (GRNN) algorithm to obtain the best model of the beam pumping system, and secondly searches the optimal operation parameters with improved strength Pareto evolutionary algorithm (SPEA2). …”
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Smart Edge Computing Framework for Real-Time Brinjal Harvest Decision Optimization by T. Tamilarasi, P. Muthulakshmi, Seyed-Hassan Miraei Ashtiani

“…This study introduces the Brinjal Harvesting Decision System (BHDS), an automated, real-time framework designed to optimize harvesting decisions using a portable, low-power edge computing device. …”
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Optimization method for attribute-based cryptographic access control in mobile cloud computing by Jian LIU, Ming XIAN, Huimei WANG, Hong RONG

“…For the problem of secure data sharing and access control in mobile cloud,the drawback of traditional cryptographic access control schemes was deeply analyzed.Considering the truth that mobile devices were usually equipped with limited resources,an optimized attribute-based cryptographic access control scheme was proposed in this study.In the proposed scheme,a third party proxy was introduced into the system model,and the two-layer encryption method was applied.Combining traditional attribute-based encryption (ABE) algorithm with multi-secret sharing and split measurement of ABE encryption,the scheme could greatly reduce the cost of mobile users in terms of data publish and access management.Theoretical and experimental analysis shows that the contribution can well meet the requirements of mobile cloud in terms of security,computational complexity and communication cost,which means that it is promising for future applications.…”
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Beamforming and resource optimization in UAV integrated sensing and communication network with edge computing by Bin LI, Sicong PENG, Zesong FEI

“…To address the dependence of traditional integrated sensing and communication network mode on ground infrastructure, the unmanned aerial vehicle (UAV) with edge computing server and radar transceiver was proposed to solve the problems of high-power consumption, signal blocking, and coverage blind spots in complex scenarios.Firstly, under the conditions of satisfying the user’s transmission power, radar estimation information rate and task offloading proportion limit, the system energy consumption was minimized by jointly optimizing UAV radar beamforming, computing resource allocation, task offloading, user transmission power, and UAV flight trajectory.Secondly, the non-convex optimization problem was reformulated as a Markov decision process, and the proximal policy optimization method based deep reinforcement learning was used to achieve the optimal solution.Simulation results show that the proposed algorithm has a faster training speed and can reduce the system energy consumption effectively while satisfying the sensing and computing delay requirements.…”
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POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks by Tamilarasan Ananth Kumar, Rajendirane Rajmohan, Sunday Adeola Ajagbe, Oluwatobi Akinlade, Matthew Olusegun Adigun

“…This paper introduces POTMEC, a power optimization framework that combines a channel-aware adaptive power allocator using real-time SNR measurements, a MATLAB-trained RL model for joint offloading decisions and a decaying step-size algorithm guaranteeing convergence. …”
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Method for designing specialized computing systems based on hardware and software co-optimization by I. Е. Tarasov, P. N. Sovietov, D. V. Lulyava, D. I. Mirzoyan

“…The proposed design methodology based on a register transfer level (RTL) representation synthesizer of a computing device is limited to individual computing architectures for which the relevant circuit is synthesized and optimized based on a high-level input description of the algorithm. …”
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Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things by Jun SUN, Shangweikang ZHAO

“…In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption.…”
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Maize Leaf Area Index Estimation Based on Machine Learning Algorithm and Computer Vision by Wanna Fu, Zhen Chen, Qian Cheng, Yafeng Li, Weiguang Zhai, Fan Ding, Xiaohui Kuang, Deshan Chen, Fuyi Duan

“…To overcome these difficulties, the study integrated computer vision techniques with UAV-based remote sensing data to establish a rapid and non-invasive method for estimating the LAI in maize. …”
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An improved Multi-Objective Whale Optimization Algorithm for hydrodynamic and acoustic performance optimization of Myring-shaped underwater vehicle by Qigan Wang, Yu Dong, Han Wu, Peizhan Cao, Zhijun Zhang

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Enhanced Butterfly Optimization and Deep Learning Algorithm for Student Placement Prediction by T. Kavi Priya, N. Kumar

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Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 2; peer review: 3 approved, 1 approved with reservations] by Srinivasarao Thota, Rakshitha T, Thulasi Bikku

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MODELS AND ALGORITHMS FOR COMPUTER-AIDED DESIGN OF TECHNOLOGICAL PROCESS OF CASTINGS PRODUCTION, DIRECTED FOR SUPERCOMPUTER SKIF by A. N. Chichko, T. V. Matjushinets, L. V. Markov, S. G. Lihousov, V. F. Sobolev, O. I. Chichko

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Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic by Sujuan Wang, Musadaq Mansoor

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A new binary grasshopper optimization algorithm for feature selection problem by Haouassi Hichem, Merah Elkamel, Mehdaoui Rafik, Maarouk Toufik Mesaaoud, Chouhal Ouahiba

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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

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Application of Multi-Objective Optimization for Path Planning and Scheduling: The Edible Oil Transportation System Framework by Chin S. Chen, Chia J. Lin, Yu J. Lin, Feng C. Lin

Subjects: “…multi-objective optimization…”
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Enhanced Gaining-Sharing Knowledge-based algorithm by Mohammed Adnan Jawad, Heba Sayed Mohamed Roshdy, Ali Wagdy Mohamed

“…This article suggests an Enhanced Gaining-Sharing Knowledge-based algorithm (eGSK) to resolve unrestricted optimization minimization problems over a continuous space. …”
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