Self-adaptive differential evolution algorithm based on population state information by Weijie MAI, Weili LIU, Jinghui ZHONG

“…The local optimum and stagnation state information of the population seriously affects the performance of differential evolution (DE) algorithm.An advanced DE algorithm with population state processing measures was proposed to address the above two issues.When the population falled into the local optimum, the individuals in the population were learned randomly by LBFGS method to improve the global quality of the solution, and Gaussian mutation was employed to trigger new individuals to jump out of local optimum.As for the stagnation state, the covariance matrix of the population was applied to reorganize the target individuals based on the rotation of the spatial coordinates to suppress the stagnation state of the population and enhance the global search ability of the algorithm.In addition, a new selection strategy was designed, which built an external archive to store abandoned individuals after greedy selection.When the trial individual was inferior to the target individual, the algorithm no longer generated the next generation with greedy selection strategy, but made reasonable intelligent selection around the external archive to ensure that the algorithm converges to the global optimum.Compared with eight state-of-the-art DE algorithms on 29 benchmark functions, the experimental results show that the proposed algorithm has better performance in terms of the solution accuracy and convergence speed.…”
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Algorithm of underdetermined convolutive blind source separation for high reverberation environment by Yuan XIE, Tao1 ZOU, Weijun SUN, Shengli XIE

“…To separate the underdetermined convolutive mixture signals in the high reverberation environment, a novel algorithm of underdetermined convolutive blind source separation was proposed.Aiming at the influence of high reverberation environment, a global impulse response network was designed to weaken reverberation echo, improving signal quality.A new mathematical model of time-frequency mixing signals was established based on the global impulse response network.The global impulse response matrix which shortened the length of the traditional impulse response, reduced the approximation error of model transformation caused by high reverberation.The real-time update learning rules of model parameters were designed based on the theory of nonnegative matrix factorization, and the source signal separation problem was converted into the model parameter optimization problem, achieving blind source separation of mixing signals.Experimental results show that the proposed algorithm can effectively realize the blind source separation of Chinese and English speech and music signals, and the comparision with existing popular algorithms verified the superiority of the proposed algorithm.…”
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Dynamic decomposition and hyper-distance based many-objective evolutionary algorithm by Xujian Wang, Fenggan Zhang, Minli Yao

“…Abstract Nowadays many algorithms have appeared to solve many-objective optimization problems (MaOPs), yet the balance between convergence and diversity is still an open issue. …”
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RELIABILITY ANALYSIS OF RIGHT CENSORED WEIBULL DISTRIBUTION BASED ON GENETIC ALGORITHM by ZHANG Qing, ZHENG Yan, WANG Xuan, MA Min, WANG WenBo

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Automatic Algorithm for Fractal Plant Art Image Similarity Feature Generation by Zhizhe Liu, Luo Sun

“…The scheme combines SIFT (scale-invariant feature transform) feature secure extraction and locally sensitive hashing algorithm to achieve secure extraction of BOVW features of images. …”
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Adaptive algorithm to compensate varying group_delay by YANG Zhi-xing, DENG Yong-jun, PAN Chang-yong, SONG Jian

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A practical adaptive nonlinear tracking algorithm with range rate measurement by Haiyan Yang, Hongqiang Liu, Zhongliang Zhou, An Xu

“…Then, a novel tracking algorithm with range rate measurement is proposed based on the cumulative sum detector and the above two kinds of nonlinear algorithms. …”
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Interconnection algorithm of a wide range of pervasive devices for the Internet of things by Tao Chi, Ming Chen

“…We have implemented our algorithms on a field-programmable gate array and applied them to some off-the-shelf products. …”
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Classification Formula and Generation Algorithm of Cycle Decomposition Expression for Dihedral Groups by Dakun Zhang, Yonggang Lin, Guozhi Song

“…It includes the reflection and rotation conversion, which derived six common formulae on cycle decomposition expressions of group; it designed the generation algorithm on the cycle decomposition expressions of group, which is based on the method of replacement conversion and the classification formula; algorithm analysis and the results of the process show that the generation algorithm which is based on the classification formula is outperformed by the general algorithm which is based on replacement conversion; it has great significance to solve the enumeration of the necklace combinational scheme, especially the structural problems of combinational scheme, by using group theory and computer.…”
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Perfect space-time block codes and high performance decoding algorithm by HU Jun-feng1, YANG Yuan1, ZHANG Hai-lin1

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Spoofing speech detection algorithm based on joint feature and random forest by Jiaqi YU, Zhihua JIAN, Jia XU, Lin YOU, Yunlu WANG, Chao WU

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ε-approximate spatial-window aggregation algorithm in wireless sensor networks by Jing GAO, Jian-zhong LI, Yu LIU

“…An efficient ε-approximate spatial-window aggregate query processing technique was proposed to approximate aggregate values over arbitrary regions with arbitrary accuracy.A dynamic programming algorithm was devised to compute minimum number of data to refine approximate summation to reach arbitrary accuracy.The proposed algorithm was efficient to compute minimum/maximum values by only transmitting values promising to be in the exact results in order to reduce energy consumption.The experiment using real-world data demonstrates that the algorithms provide high quality results in arbitrary region and reach arbitrary accuracy with low energy cost.…”
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A Hybrid Genetic Algorithm for Satellite Image Downlink Scheduling Problem by Bingyu Song, Feng Yao, Yuning Chen, Yingguo Chen, Yingwu Chen

“…A schedule generation algorithm (SGA) is proposed to assign the downlink time window for each scheduled request according to a given request permutation. …”
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Robust Beamforming Algorithm for Multibeam Satellite Communication Based on Downlink NOMA by Pengcheng KAN, Zining WANG, Huaicong KONG, Jian OUYANG, Min LIN

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Blockchain data access control scheme based on CP-ABE algorithm by Yunxiang QIU, Hongxia ZHANG, Qi CAO, Jiancong ZHANG, Xingshu CHEN, Hongjian JIN

“…Different from the public chain,the consortium blockchain Hyperledger Fabric integrates the additional member management service(MSP) mechanism to provide channel-based data isolation protection.However,the data isolation protection mechanism still synchronizes the plaintext data within a channel,so there is a risk of data leakage.Besides,the channel-based data access control mechanism does not apply to some fine-grained privacy protection scenarios.To solve the problems of data privacy and security involved in the consortium chain Hyperledger mentioned above,a blockchain data access control scheme based on the CP-ABE algorithm was proposed.Based on the original existing Fabric-CA module in the Hyperledger,our scheme can realize the secure distribution of user attribute keys in the CP-ABE scheme while implementing the fine-grained security access control of blockchain data at the user level.The security analysis shows that the scheme achieves the security goals of ABE user attribute private key security distribution and data privacy protection.The performance analysis also shows that the proposed scheme has good usability.…”
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Algorithm design on energy efficiency maximization for UAV-assisted edge computing by Qihui WU, Wei WU

“…For the unmanned aerial vehicle (UAV)-assisted edge computing system,a two-stage alternative algorithm was proposed to solve the formulated complex non-convex problem.Firstly,the formulated non-linear fractional programming problem was reformulated to the equivalent parametric problem by using Dinkelbach method.Secondly,two sub-problems were further considered based on it.By employing the Lagrange duality method,the closed-form solutions for the central processing unit frequencies and the number of data bits were derived.Finally,based on the solutions obtained,the conditions that the source node prefers to offload/share its data and the relay chooses to forward the computation results,as well as the approaches to achieve high energy efficiency were revealed.Numerical results demonstrate that the proposed design can achieve a performance improvement of up to 20 times over the conventional schemes.…”
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Eel and Grouper Optimizer improvement three-stage algorithm for photovoltaic MPPT by ZiJian Zhou, YanHong Fang

Subjects: “…Grasshopper Optimization Algorithm…”
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Temporal filtering for target detection algorithm based on static background elimination by WANG Bo, LIU De-lian, ZHANG Jian-qi

“…A new temporal based target detection algorithm was presented by using static background elimination to deal with the drawback of large scale data processing and real-time implementation in temporal filtering.Firstly,a uniform model was developed based on the temporal behavior of different types of pixels.And the parameter of the model was estimated by introducing least square method.Using the new model,static background pixels could be eliminated.Secondly,a minimum filer was designed to obtain the baseline of the temporal profile.Finally,the deviation of the temporal profile and its baseline was analyzed,which led to a detection criterion.Since the target signal was well preserved during the static background elimination and large sale tracking data was eliminated,the method could have higher speed and computational efficiency.Experiments with real image sequences have proved the validity of the new approach.…”
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Visual System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms (VIAEVCA) by Hedva Spitzer, Yosef Shai Kashi, Morris Mosseri, Jacob Erel

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A hybrid indoor localization algorithm based on RSSI and inertial navigation by Yaping ZHU, Weiwei XIA, Yueyue ZHANG, Feng YAN, Xuzhou ZUO, Lianfeng SHEN

“…To cater for the requirements of high-precision indoor localization algorithms,a hybrid indoor localization algorithm based on received signal strength identification (RSSI) and inertial navigation was proposed.This algorithm used fingerprint identification algorithm to localize the agents,based on the RSSI values of ZigBee nodes in wireless sensor network.The algorithm combined the inertial information provided by inertial measurement units (IMU),to correct the RSSI localization results.This algorithm used Kalman filter and adopted state equations to describe the dynamic change rules of agents’ positions,thus it achieved a hybrid localization algorithm which relied WSN localization first and IMU last.Simulations evaluate that the proposed algorithm can improve the localization performances of algorithms which adopt RSSI localization and inertial navigation individually,and can greatly improve localization accuracy.…”
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