Research on task offloading algorithm of mobile edge computing based on deep reinforcement learning in SDCN by Shouhua JIANG, Yiwu WANG

“…With the continuous development of network technology, the network topology distributed network control mode based on Fat-Tree gradually reveals its limitations.Software-defined data center network (SDCN) technology, as an improved technology of Fat-Tree network topology, has attracted more and more researchers’ attention.Firstly, an edge computing architecture in SDCN and a task offloading model based on the three-layer service architecture of the mobile edge computing (MEC) platform were built, combined with the actual application scenarios of the MEC platform.Through the same strategy experience playback and entropy regularization, the traditional deep Q-leaning network (DQN) algorithm was improved, and the task offloading strategy of MEC platform was optimized.An improved DQN algorithm based on same strategy empirical playback and entropy regularization (RSS2E-DQN) was compared with three other algorithms in load balancing, energy consumption, delay and network usage.It is verified that the improved algorithm has better performance in the above four aspects.…”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

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Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments by Panagiotis D. Paraschos, Georgios Papadopoulos, Dimitrios E. Koulouriotis

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Adam Algorithm with Step Adaptation by Vladimir Krutikov, Elena Tovbis, Lev Kazakovtsev

“…As the computational experiment showed, in stochastic optimization problems, the proposed Adam modification with step adaptation turned out to be significantly more efficient than both the standard Adam algorithm and the other methods with step adaptation that are studied in the work.…”
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On Self-Scaling Variable-Metric Algorithms by Abbas Al-Bayati, Mardin Taher

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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

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Modeling optimal PV surface of BIPVs for maximum energy yield through Genetic Algorithms by Gabriel Espitia-Mesa, Andrés Moreno-Villa, Sebastián Tobón-Echavarría, Juan Carlos Rivera, Ricardo Mejía-Gutiérrez

“…To achieve this, a Genetic Algorithm (GA) is integrated into a computational ray tracing tool, in order to evaluate the radiation captured by a set of surfaces, which have a projected flat area on the terrace of 1m2, considering historical irradiance data in Medellín, Colombia. …”
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A FPGA Accelerator of Distributed A3C Algorithm with Optimal Resource Deployment by Fen Ge, Guohui Zhang, Ziyu Li, Fang Zhou

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Algorithm PSO for maximum coverage of users using drones to find optimal points for deployment by Fariborz Rasouli

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Experimental Evaluation of Optimal Rate Delay and Power Allocation Algorithm in Wireless Control Networks by Muhammad Tahir, S. K. Mazumder

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Optimizing Lattice Basis Reduction Algorithm on ARM V8 Processors by Ronghui Cao, Julong Wang, Liming Zheng, Jincheng Zhou, Haodong Wang, Tiaojie Xiao, Chunye Gong

“…The LLL (Lenstra–Lenstra–Lovász) algorithm is an important method for lattice basis reduction and has broad applications in computer algebra, cryptography, number theory, and combinatorial optimization. …”
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A Simplified Fish School Search Algorithm for Continuous Single-Objective Optimization by Elliackin Figueiredo, Clodomir Santana, Hugo Valadares Siqueira, Mariana Macedo, Attilio Converti, Anu Gokhale, Carmelo Bastos-Filho

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Research on WSN lifetime optimization game algorithm combined power and channel by Xiaochen HAO, Ning YAO, Lixia XIE, Jiaojiao WANG, Liyuan WANG

“…Due to the problem of shortening the network lifetime which was caused by the big energy consumption for wireless sensor network (WSN) whose energy and computing power was limit,a lifetime optimization game algorithm combined power control and channel allocation (LOAPC) was proposed.The influence of node power and residual energy on the node interference was explored to construct an interference affection measurement model.Then,expected transmission times was introduced to establish a novel node lifetime model.Finally,LOAPC aimed at reducing interference and prolonging lifetime,and the node power was limited by an optional power set which ensured the network connectivity and economized energy consumption,so as to prolong the network lifetime effectively.At the same time,the simulation results show that the algorithm has the characteristics of low interference,low energy consumption and effectively prolonging the lifetime of the network.…”
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Trajectory Optimization of Hypersonic Periodic Cruise Using an Improved PSO Algorithm by Hesong Li, Yi Wang, Shangcheng Xu, Yunfan Zhou, Dan Su

“…Periodic cruise has the potential to improve the fuel-saving efficiency of hypersonic cruise vehicles but is difficult to optimize. In this paper, hypersonic periodic cruise trajectory is analyzed theoretically and optimized by an improved Particle Swarm Optimization algorithm. …”
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CSA: Utility Optimization Scheduling Algorithm for IoT Blockchain Sharding Committees by Xin Cong, Qi Jing, Lingling Zi, Changjiang Lin

“…The rapid proliferation of the Internet of Things (IoT) poses significant challenges for utility optimization in sharding blockchain systems. In this paper, we propose a Committee Scheduling Algorithm (CSA), which employs an iterative optimization framework based on the Markov chain to balance transaction throughput, cumulative latency, and transaction fees. …”
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A parallel hybrid variable neighborhood descent algorithm for nonlinear optimal control problems by M. Salimi, A.H. Borzabadi, H.H. Mehne, A. Heydari

“…In this paper, a numerical method for solving bounded continuous-time nonlinear optimal control problems (NOCPs) that based on variable neigh-borhood descent (VND) algorithm is proposed. …”
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Iterative optimization algorithm with structural prior for artifacts removal of photoacoustic imaging by Yu Zhang, Shuang Li, Yibing Wang, Yu Sun, Tingting Huang, Wenyi Xiang, Changhui Li

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Optimizing Lecture Scheduling Using Genetic Algorithm: A Case Study at Universitas Riau by Reno Widi Respati, Dian Ramadhani

“…Genetic algorithms were selected due to their effectiveness in solving complex optimization problems and producing efficient solutions in a relatively short time. …”
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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…This research shows that Orca Predation Algorithm consistently does better than other bio-inspired algorithms like Particle Swarm Optimization, Whale Optimization Algorithm, Grey Wolf Optimizer, the Bat Algorithm, Genetic Algorithm and Ant Colony Optimization in terms of minimum cost, average cost, and solution stability. …”
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EG-DPoS: Optimized DPoS Consensus Algorithm Based on Evolutionary Game by LIU Yong, DENG Xiaohong, LIU Lihui, SHI Yiran, ZHANG Li

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