A Benders Decomposition Algorithm for the Passenger Train Service Planning by Song Pu

“…Finally, our model and algorithm are tested on a real-world instance of the Beijing-Shanghai high-speed railway line. …”
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Time series data aggregation algorithm with synchronous prediction for WBAN by Ru-yan WANG, Mei-ling ZHAI, Da-peng WU

“…Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.…”
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Design of task dividing and offloading algorithm in mobile edge computing by Jing LU, Hanlin LI, Lin GAO

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A Dynamic Task Scheduling Algorithm for Airborne Device Clouds by Bao Deng, Zhengjun Zhai

“…The task scheduling model based on genetic algorithm and random scheduling algorithm is compared through comparison experiments, which show that the assignment time of the task scheduling model based on genetic algorithm is shortened by 11.82% to 48.51% and the energy consumption is reduced by 22.28% to 47.52% under different load conditions.…”
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Digital Image Encryption Algorithm Design Based on Genetic Hyperchaos by Jian Wang

“…In view of the present chaotic image encryption algorithm based on scrambling (diffusion is vulnerable to choosing plaintext (ciphertext) attack in the process of pixel position scrambling), we put forward a image encryption algorithm based on genetic super chaotic system. …”
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Bidirectional RNN-based private car trajectory reconstruction algorithm by Zhu XIAO, Xin QIAN, Hongbo JIANG, Chenglin CAI, Fanzi ZENG

“…To address the problem that in the complex urban environment, due to the inevitable interruption of GNSS positioning signal and the accumulation of errors during vehicle driving, the collected vehicle trajectory data was likely to be inaccurate and incomplete.a bidirectional weighted trajectory reconstruction algorithm was proposed based on RNN neural network.The GNSS-OBD trajectory acquisition device was used to collect vehicle trajectory information, and multi-source data fusion was adopted to achieve bidirectional weighted trajectory reconstruction.Furthermore, the neural arithmetic logic unit (NALU) was leveraged with the purpose of enhancing the extrapolation ability of deep network and ensuring the accuracy of trajectory reconstruction.For the evaluation, real-world experiments were conducted to evaluate the performance of the proposed method in comparison with existing methods.The root mean square error (RMSE) indicator shows the algorithm accuracy and the reconstructed trajectory is visually displayed through Google Earth.Experimental results validate the effectiveness and reliability of the proposed algorithm.…”
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Robust reinforcement learning algorithm based on pigeon-inspired optimization by Mingying ZHANG, Bing HUA, Yuguang ZHANG, Haidong LI, Mohong ZHENG

Subjects: “…pigeon-inspired optimization algorithm…”
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Improved spectral clustering algorithm and its application in MCI detection by Jie XIANG, Dong-qin ZHAO

“…In order to detect mild cognitive impairment (MCI) using functional magnetic resonance imaging (fMRI)，a method based on fMRI clustering was proposed fMRI data were clustered to obtain the blood oxygen level dependence( BOLD) change model of MCI patients，then abnormal patterns were used to detect disease.The traditional spectral clustering algorithm needs to calculate all of the eigenvalue and eigenvector，so time and space complexity is higher.An improved spectral clustering method was proposed which modified the similar matrix construction method and the setting method of σ and k，and then this method was applied to clustering and detection of MCI patients.To verify the performance of the proposed method，the comparison of the clustering result，classification accuracy using traditional algorithm and Nyström is also done.The comparative experimental results show that the proposed method can get BOLD pattern more accurately，the accuracy of MCI detection is higher than the other two algorithms，and the time and space complexity are less than the traditional algorithm.…”
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Multiobjective Construction Optimization Model Based on Quantum Genetic Algorithm by Wei He, Yichao Shi

“…In addition, the multiconstraint and multitarget construction optimization model with minimum period and cost was established based on the quantum genetic algorithm. In order to improve the adaptability of the quantum genetic algorithm for the multiobjective model, the encoding form, quantum revolving door, and genetic flow of the algorithm were reconstructed. …”
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Domain of interests clustering algorithm based on users’ preferred topics by GONG Wei-hua1, YANG Liang-huai1, JIN Rong2, DING Wei-long1

“…In order to solve the problem of users’ preferences changing frequently,an iterative computing method was presented to gain the weights of users’ preferences as time goes.A bipartite graph was constructed to show the relations of users’ interests and topic classes.On this base,a novel topic-based clustering（TBC） algorithm was proposed to group the nearest neighbors according to users’ interests,which had changed the usual hard partition method meaning "one or the other" for the clustering items.And the partitioned domains of users’ interests based on multiple topics was also es-tablished by the algorithm,which not only fully profiled users’ interests and the relations of topics indirectly reflected in different domains,but also could adaptively track the changes of users’ interests.Experimental results show that TBC method has better declustering outcome of users’ interests than both the traditional K-Means algorithm and FCM method belonged to the soft clustering,and the TBC algorithm also has higher recommendation quality and better efficiency in personalized recommender services.…”
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PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm by Wei Chen Esmonde Lim, G. Kanagaraj, S. G. Ponnambalam

“…To increase PCB manufacturing productivity and to reduce production costs, a good option is to minimize the drill path route using an optimization algorithm. This paper reports a combinatorial cuckoo search algorithm for solving drill path optimization problem. …”
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An Algorithm for Extracting Intuitionistic Fuzzy Shortest Path in a Graph by Siddhartha Sankar Biswas, Bashir Alam, M. N. Doja

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SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM by A. S. Abufanas, A. A. Lobaty, A. G. Shvedko

“…A general structural diagram of the parametric identification search system with a gradient algorithm is presented.As an example for evaluating the operability of the proposed algorithm, we consider the simplest model of an electric drive, given by a transfer function in the form of an inertial link. …”
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Improved snow geese algorithm for engineering applications and clustering optimization by Haihong Bian, Can Li, Yuhan Liu, Yuxuan Tong, Shengwei Bing, Jincheng Chen, Quance Ren, Zhiyuan Zhang

Subjects: “…Snow geese algorithm…”
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English Grammar Error Correction Algorithm Based on Classification Model by Shanchun Zhou, Wei Liu

“…English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. …”
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Efficient Dynamic Replication Algorithm Using Agent for Data Grid by Priyanka Vashisht, Rajesh Kumar, Anju Sharma

“…The result shows the efficiency of EDRA algorithm in terms of mean job execution time, network usage, and storage usage of node.…”
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Polar codes decoding algorithm based on convolutional neural network by Rui GUO, Fanchun RAN

“…In order to solve the problem that the existing Polar code decoding algorithm based on neural network can only decode short codewords (codewords length N≤64),a new decoding algorithm using convolution neural network for long codewords (N≥512) was put forward.Instead of using a fixed drawn from the data sample proportion as training set and test set,the neural network parameters epoch and batch were used to control the neural network input,and the data explosion problem caused by the long codewords was solved.In addition,the influence of batch and epoch parameters on the decoding performance of convolution neural network was explored and the performance difference of neural network using different activation functions were investigated.Simulation results show that with the traditional SCL (successive cancellation list,L=2) decoding algorithm,convolution neural network in low signal-to-noise ratio on the performance is better than that of SCL (L=2),in high signal-to-noise ratio and SCL (L=2) algorithm of similar performance,and the larger the training data set,the better the decoding performance of neural network.…”
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Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management by Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, R. K. Saket, Baseem Khan

“…This paper proposes a multiobjective salp swarm algorithm (MOSSA) approach for transmission congestion management (CM), implementing demand side management activities. …”
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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). This paper's primary participation is to take advantage of the hybrid encoding technique to maintain the quality of the reconstructed image and the reduction of time complexity. …”
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A Vehicle Detection Algorithm Based on Deep Belief Network by Hai Wang, Yingfeng Cai, Long Chen

“…On-road experimental results demonstrate that the algorithm performs better than state-of-the-art vehicle detection algorithm in testing data sets.…”
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