Dual-target WOA spectrum sharing algorithm based on Stackelberg game by Li ZHANG, Tian LIAO, Yejun HE

“…In order to solve the complex spectrum allocation problem,a dual-target whale optimization algorithm (WOA) with strong parallel computing capabilities was introduced,and a Stackelberg game model was proposed that could effectively reflect the actual spectrum requirements,and a dual-target WOA optimized distributed antenna system (DAS) spectrum sharing scheduling algorithm was designed.Simulation results show that performance comparison is performed from multiple indicators such as optimal pricing and user benefits.The proposed algorithm has a good spectrum sharing allocation effect,can achieve fair and effective spectrum allocation,and provides an important reference for the future communication network spectrum sharing mode.…”
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New TDOA algorithm based on Taylor series expansion in cellular networks by ZHANG Ling-wen, TAN Zhen-hui

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Retracted: Algorithm of Classroom Teaching Quality Evaluation Based on Markov Chain by null Complexity

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IDS alert clustering algorithm based on chaotic particle swarm optimization by Xiao-bo XU, Qin-qin JIANG, Kang-feng ZHENG, Bin WU, Yi-xian YANG

“…The CPSO algorithm could overcome the problem of premature and local opti-mization, and take the center of cluster to find the global optimal solution. …”
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Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA by Jun Dai, Dongfang Li, Junwei Zhao, Yanqin Li

“…An improved method is proposed in this investigation to solve the problems of poor path quality and low navigation efficiency of the Informed-RRT∗ algorithm in robot autonomous navigation. First, the greedy algorithm is introduced in the path planning procedure. …”
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DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM by WANG MingYue, MIAO BingRong, Li XuJuan, YANG ZhongKun

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Quantum algorithms for attacking hardness assumptions in classical and post‐quantum cryptography by J.‐F. Biasse, X. Bonnetain, E. Kirshanova, A. Schrottenloher, F. Song

“…Abstract In this survey, the authors review the main quantum algorithms for solving the computational problems that serve as hardness assumptions for cryptosystem. …”
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BIS:an RFID anti-collision algorithm minimizing the cost of empty slots by WANG Zhong-xiang, WANG Jun-yu, LIU Dan, MIN Hao

“…A novel ALOHA-based medium access control（MAC） protocol, BIS, was proposed, in which the time consumption of the empty slots had been largely reduced through empty slot scanning and dynamic frame size adjustment.According to the simulation results, the system efficiency and identification speed of BIS algorithm are efficiently improved, compared to those of the normal ALOHA-based algorithms and tree-based algorithms.…”
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Optimal Scheduling of Microgrids Based on an Improved Dung Beetle Optimization Algorithm by Yuntao Yue, Haoran Ren, Dong Liu, Lenian Zhang

Subjects: “…Improved Dung Beetle Optimization algorithm…”
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Dynamic Demodulation Algorithm for Bio-radar Sensors Based on Range Tapper by Changyu LIU, Hao ZHANG, Fanglin GENG, Zhongrui BAI, Peng WANG, Zhenfeng LI, Lidong DU, Xianxiang CHEN, Zhen FANG

“…We tested the algorithm performance in simulations and experiments for the cross range bin cases. …”
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An algorithm for joint optimization of dynamic routing and scheduling in time-sensitive networking by Yang ZHOU, Honglong CHEN, Lei ZHANG

“…Time-sensitive networking (TSN) is a set of protocols developed by the IEEE TSN task group, aiming at achieving deterministic communications over Ethernet.As the implementation method of TSN traffic scheduling is not specified in the protocols, the routing and scheduling algorithm for TSN remains an open issue.The joint optimization problem of routing and scheduling in TSN for industrial applications was modeled, and then an online heuristic algorithm was proposed to deliver the routing and scheduling solution for dynamic traffics.The routing path was determined by optimizing both the transmission delay and network load factors, and the scheduling time was quickly conducted by twice clipping operations.Finally, a simulated TSN testbed was developed with NeSTiNg framework based on OMNeT.The simulation results show that the execution time of the proposed algorithm outperforms the baseline algorithms even with large scale of network size and network traffics.It shows that the proposed algorithm guarantees the real-time performance even in dynamically changing networks.…”
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Internet of Things Optimal Routing based on Markov-Reinforcement Learning Algorithm by Jamal M.Ali Radha, Raza Y. Abdulrahman

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A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System by S. M. Odeh, A. M. Mora, M. N. Moreno, J. J. Merelo

“…This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GAs) and its application on a traffic signal system. …”
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FDK-Type Algorithms with No Backprojection Weight for Circular and Helical Scan CT by A. V. Narasimhadhan, Kasi Rajgopal

“…We develop two Feldkamp-type reconstruction algorithms with no backprojection weight for circular and helical trajectory with planar detector geometry. …”
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The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm by Fang Li, Yunlan Wang, Peng Li

“…Compared with the other methods, the algorithm has shown better adaptability in the simulation results.…”
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Optimization Design of Transmission System of Pulping Machine based on Genetic Algorithm by Chen Xianbing, Zhi Xuge, Song Haichao

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An optimal energy-efficient resource allocation algorithm in ultra-dense network by Yueyue ZHANG, Weiwei XIA, Yaping ZHU, Feng YAN, Xuzhou ZUO, Lianfeng SHEN

Subjects: “…distributed EE maximization algorithm…”
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The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing by Yangyang Li, Jianping Zhang, Guiling Sun, Dongxue Lu

“…This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. This algorithm combines the advantage of the sparsity adaptive matching pursuit (SAMP) algorithm and the simulated annealing method in global searching for the recovery of the sparse signal. …”
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Optimization of Transformer Windings Based on FEA-XGBoost and NSGA-III Algorithm by Shi Bai-di, Jiang Yong-feng, Shang Jing-yu, Bao Ye-feng, Chen Bing-yan, Yang Ke

“…Subsequently, the presented multiobjective model is optimized using multiobjective algorithms and the NSGA-III shows the best performance among the NSGA-II, MOPSO, and MODE. …”
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Channel state information acquisition algorithm based on deep learning for IoT by Yong LIAO, Haimei YAO, Yuanxiao HUA

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