Multi-objective Particle Swarm Optimization with Integrated Fireworks Algorithm and Size Double Archiving by Yansong Zhang, Yanmin Liu, Xiaoyan Zhang, Qian Song, Aijia Ouyang, Jie Yang

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Multi-objective Optimization Design of Micro-cultivator Gearbox based on NSGA-Ⅱ Algorithm by Zeng Chen, Li Bing, Wang Xiaoyong, Li Shangqing, Wu Xiankun

“…The optimization results show that volume decreased respectively by 14. 13% and 15. 96% and coincidence degree are improved respectively by 4. 07% and 4. 60% by using the SGA and the NSGA- Ⅱalgorithm optimization. A good optimization effect is got and the NSGA- Ⅱ algorithm is better.…”
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On Asymptotic Analysis of Packet and Wormhole Switched Routing Algorithm for Application-Specific Networks-on-Chip by Nitin

“…For this, four fault-tolerant parallel algorithms are proposed. It allows different NoCs to communicate in parallel using either fault-tolerant irregular Penta multistage interconnection network (PNN) or fault-tolerant regular Hexa multistage interconnection network (HXN). …”
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Spectrum sensing algorithm based on average value of middle part of power spectral density by Zhijin ZHAO, Xi LV, Shilian ZHENG

“…The difference between maximum and minimum value of the received signal power spectrum is distinct when the primary user signal is present or absent.Using this characteristic,the spectrum sensing algorithm based on the average of the middle part of power spectral density was proposed.Since the minimum of the signal power spectral density fluctuated,the minimum couldn't be accurately estimated from a frequency point.The minimum value of the power spectrum was estimated by using the average value of the middle part of the received signal power spectrum to reduce the effect of the randomness of minimum value on spectrum sensing performance.The expressions of detection threshold and detection probability were derived.Simulation results show that performance of the algorithm is better than those of the present spectrum sensing algorithms based on power spectrum density under the AWGN channel and the Rayleigh fading channel.The algorithm didn't need the primary user information and complicated eigenvalue decomposition.…”
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Dynamic spectrum allocation for cognitive radio sensor networks based on improved genetic algorithm by Chang CAI, Yafang WANG, Bingmei MIAO, Hui JIANG

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A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization by Mehdi Fallah Kazemi, Arash Ahmadpour, Nadia Pourmahdi

“…Furethermore, applying the proposed algorithm is strong against attacks.…”
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Digital Media Hotspot Mining Algorithm Implementation with Complex Systems in the Mobile Internet Environment by Yufeng Jia, Sang-Bing Tsai

“…The algorithm uses the PAT-Tree technique to extract high-frequency core words in topic hotspots and maps the high-frequency words into sentences to generate a part of event core sentences. …”
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Joint bandwidth and power allocation algorithm in cognitive radio network with consideration of utility and fairness by Ji-lei YAN, Jian-dong LI, Lin-jing ZHAO, Quan DONG

“…A unified utility function was designed to adapt to different types of services and an optimization problem was formulated based on the network utility maximization model.By applying the Lagrange duality method,a distributed joint bandwidth and power allocation algorithm was proposed.Simulation results show that this algorithm can effectively allocate proper resources to various types of secondary users.It can not only maximize the total utility of all secondary users but also maintain the utility fairness among them.…”
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Distributed robust beamforming algorithm for spectral coexistence in satellite and high altitude platform networks by Zining WANG, Min LIN, Fei LI, Lve HAN, Weiping ZHU

“…A distributed robust beamforming (BF) algorithm was proposed to improve spectrum efficiency for an integrated satellite and high altitude platform (HAP) network.Specifically, for the scenario where satellite network and HAP network adopted multicast and NOMA to serve their respective multiple users, an optimization problem was formulated to maximize the sum rate, subject to the rate requirements of both satellite and aerial terminals, and the transmit power budget of satellite and aerial platforms.Then, by considering both the imperfect channel state information (CSI) and the imperfect successive interference cancellation (SIC), S-procedure and sequential convex approximation were adopted to transform the nonconvex problem, and then a distributed BF algorithm using Lagrange duality was proposed to enable the spectral coexistence.Finally, simulation results demonstrate that the proposed algorithm can achieve a similar performance yet at a lower signaling overhead compared with the other existing works.…”
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A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification by Lahbib Khrissi, Nabil El Akkad, Hassan Satori, Khalid Satori

“…The results prove the effectiveness of the proposed algorithm over the other algorithms based on several performance measures used in this paper.…”
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A Novel Algorithm for Defending Path-Based Denial of Service Attacks in Sensor Networks by Ramzi Saifan, Omar Al-Jarrah

“…Simulation results show that our algorithm outperforms the one-way hash chain (OHC) algorithm and that it is more scalable.…”
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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…【Methods】This paper proposes a method of using Sparrow Search Algorithm (SSA) to optimize Extreme Gradient Boosting (XGBOOST) for third-order correlation peak classification of direct spread signals to improve the accuracy of <italic>m</italic>-sequence classification and identification.…”
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Multibit image watermarking algorithm resistant to geometric attacks based on level set method

“…A multibit watermarking algorithm based on level set method was proposed.First,the stable location of the unit disk was found using level set method.Then,pseudo-Zernike moments were calculated.At last,the watermark was embedded by modifying the pseudo-Zernike moments.In the extraction process,the root-mean-square-error method was employed to detect the watermark.Simulation results show that the algorithm overcomes the defect of the traditional al-gorithm based on pseudo-Zernike moments,while be robust against geometric attacks.…”
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Optimization Design of the Bucket Lifting Mechanism of Meal and Kitchen Truck based on Genetic Algorithm by Wang Zhongchang

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Network queue scheduling algorithm based on self-similar traffic level grading prediction by Debin WEI, Ting SHEN, Li YANG, Yaowen QI

“…Self-similarity characteristic of network traffic will lead to the continuous burstness of data in the network.In order to effectively reduce the queue delay and packet loss rate caused by network traffic burst,improve the transmission capacity of different priority services,and guarantee the service quality requirements,a queue scheduling algorithm P-DWRR based on the self-similarity of network traffic was proposed.A dynamic weight allocation method and a service quantum update method based on the self-similar traffic level grading prediction results were designed,and the service order of the queue according was determined to the service priority and queue waiting time,so as to reduce the queuing delay and packet loss rate.The simulation results show that the P-DWRR algorithm can reduce the queueing delay,delay jitter and packet loss rate on the basis of satisfying the different service priority requirements of the network,and its performance is better than that of DWRR and VDWRR.…”
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Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin by Guofeng WEI, Guoru DING, Yutao JIAO, Yitao XU, Daoxing GUO, Peng TANG

“…Electromagnetic space is an important link to empower and coordinate sea, land, air, space and network.Electromagnetic target recognition provides important radio target identity information for the twin construction of electromagnetic space, so that it can describe and depict the identity situation of electromagnetic targets in digital space.However, a single sensing node is vulnerable to interference, and its recognition performance is limited.Wrong recognition results will provide radio digital twin with conflicting identity information.Therefore, based on the requirements of radio digital twin in electromagnetic space, a radio target recognition framework for radio digital twin was constructed and a multi-sensing node convolution neural network individual identity fusion recognition algorithm was proposed.Compared with the nearest single sensing node, the recognition performance is improved by 6.29% by deploying the multi-node recognition network in the actual scene, which provides more accurate individual identity information.…”
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Multiple-Devices-Process Integrated Scheduling Algorithm with Time-Selective Strategy for Process Sequence by Xiaohuan Zhang, Dan Zhang, Zhen Wang, Yu Xin

“…This paper is in view of the current algorithm to solve Multiple-Devices-Process integrated scheduling problems without considering parallel process between the parallel processing. …”
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A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch by Le Yang, Dakuo He, Bo Li

“…A selection hyper-heuristic algorithm is proposed to solve the problems. Three heuristic mutation operators formed a low-level operator pool to direct search the solution space of DEED. …”
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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

“…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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OPTIMAL DESIGN OF SUSPENSION SYSTEM BASED ON IMPROVED PARTICLE SWARM-TABOO SEARCH ALGORITHM by WANG Jun, TIAN ZhongXu

“…At the same time,the suspension system is proposed by the improved particle swarm optimization tabu search optimization algorithm with the decoupling rate of the main direction of the system excitation force as the optimization goal. …”
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