An Improved GAS Algorithm by Zhijian Wang, Yuchen He, Tian Luan, Yong Long

“…This paper introduces an improved Grover Adaptive Search (GAS) algorithm. The GAS algorithm has been prove to achieve quadratic acceleration in the Constrained Polynomial Binary Optimization (CPBO) problem. …”
Get full text

An improved CLTree algorithm by Zhuohang LI

“…An improved algorithm called CLTree-R was proposed.It could compensate the shortcoming of CLTree algorithm such as low accurate and inefficiency.Then CLTree-R was applied in clustering analysis for UCI data sets.In order to improve the efficiency，data set was parallel processed on Spark platform.Experimental results show that this algorithm can get reasonable customer classification when making cluster analysis on official data set.…”
Get full text

IMPROVEMENTS TO THE BACKPROPAGATION ALGORITHM by MIRCEA PETRINI

“…This paper presents some simple techniques to improve the backpropagation algorithm. Since learning in neural networks is an NP-complete problem and since traditional gradient descent methods are rather slow, many alternatives have been tried in order to accelerate convergence. …”
Get full text

Network Security Perception System Integrating Improved CNN Algorithm and Improved GRU Algorithm by Yu Huang, Ziyi Zhao, Canbin Shi

“…Additionally, the gated recurrent unit is improved using an adaptive boosting algorithm. A novel network security-aware model integrating both methods is constructed. …”
Get full text

Algorithms to improve system reliability by Jumaev Odil, Karpovich Dzmitry, Ismoilov Muhriddin, Makhmudov Giyosjon, Sayfulin Ramil

Get full text

Improved incremental algorithm of Naive Bayes by Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU

“…A novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the traditional class confidence.When new feature was detected in the corpus,it would be mapped into feature space,and then the corresponding classifier was updated.Thus this method played a very important role in class confidence threshold.Finally,it took advantage of the unlabeled and annotated corpus to validate improved incremental algorithm of Naive Bayes.The experimental results show that an improved incremental algorithm of Naive Bayes significantly outperforms traditonal incremental algorithm.…”
Get full text

Improved PESA algorithm based on comentropy by Kun WANG, Lin-lin WANG, Yan LIU, Yu-hua ZHANG, Meng WU

“…Aiming at the issue that the computational effort the complexity and the running time of PESA algorithm are increasing rapidly with the growth of the solutions set number, a comentropy-based PESA algorithm (C-PESA) by merg-ing the entropy value metric into PESA algorithm was proposed. …”
Get full text

An Improved Squirrel Search Algorithm for Optimization by Tongyi Zheng, Weili Luo

“…However, similar to other swarm intelligence-based algorithms, SSA also has its own disadvantages. In order to get better global convergence ability, an improved version of SSA called ISSA is proposed in this paper. …”
Get full text

Improved space protocol identification algorithm by Tian-ming ZHENG, Tao WANG, Shi-ze GUO, Hua LI, Xin-jie ZHAO

“…An improved boyer-moore (BM) algorithm for space protocol identification was proposed.First,a space data preprocessing technique based on bit distance was used to increase the size of data set.A decimal jumping technique was introduced to enhance the matching efficiency for the col head part of the BM algorithm.Then,the regular expression method was applied to proceed the protocol identification and the hierarchy associated analysis technique was proposed to improve the efficiency of multi-level space protocol identification.Finally,the complexity of the proposed algorithm was analyzed and verified with concrete experiments.The results show that with the proposed algorithm,as to pattern string length m,the time complexity of the single layer protocol identification can be reduced to (1+m/4)/m of the BM algorithm.The efficiency of the protocol identification for multi-level layers can be improved about 2.5 times.Meanwhile,comparing with BM algorithm,the proposed algorithm can solve the problem of pattern string shortage and large wildcards in the space data.The identification iciency in case of huge data packages can be improved and the new formed data block can restrain the state expansion for the DFA matching engine in regular expression.…”
Get full text

Proposing an Improved Version of the Bat Algorithm by Davar Giveki, Javad Ebrahimi, Maryam Sarshar

“…In this article, the performance of the improved bat algorithm on 11 sample objective functions has been investigated and compared with other similar algorithms, and finally the results show the superiority and accuracy of this algorithm compared to similar samples.…”
Get full text

Improved ABR flow control algorithm by LIU Zhi-xin, GUAN Xin-ping, LONG Cheng-nian

“…To improve the performance of traffic management of ATM networks, an improved ABR flow control algorithm was proposed based on discrete model. …”
Get full text

Apllication of optimization algorithms to improve the design of turnouts by B. E. Glyuzberg

“…One of the most important tasks for improving the infrastructure facility of railways is its optimization. …”
Get full text

An improved searching algorithm for indoor trajectory reconstruction by Min Li, Jingjing Fu, Yanfang Zhang, Zhujun Zhang, Siye Wang, Huafeng Kong, Rui Mao

Get full text

Application of an Improved CHI Feature Selection Algorithm by Liang-jing Cai, Shu Lv, Kai-bo Shi

“…Feature selection plays an important role in text classification, which has the functions of eliminating irrelevant features, reducing dimensionality, and improving classification accuracy. So, this paper studies the CHI feature selection algorithm, and the main work and innovations are as follows: firstly, this paper analyzed the CHI algorithm’s flaws, determined that the introduction of new parameters will be the improvement direction of the CHI algorithm, and thus proposed a new algorithm based on variance and coefficient of variation. …”
Get full text

An improved BKW algorithm on the learning with rounding problem by Yu Wei, Lei Bi, Kunpeng Wang, Xianhui Lu

“…Compared to previous LWR-solving BKW algorithms, our new BKW algorithm achieves a time complexity improvement of 4.0–48.5 bits for the instances considered. …”
Get full text

Improved Firefly Algorithm Based on Heuristic Information by CUI Jia-rui, LI Qing, YANG Liu-yi, WANG Heng, ZHANG Bo-yu

“…Firefly Algorithm (FA) is an optimization algorithm based on swarm intelligence which mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies With the aim to address the disadvantages of the firefly algorithm of slow convergence speed and ease of falling into the local optimum in the later period of the evolution process, the firefly algorithm is improved herein Two kinds of heuristic information are proposed into the algorithm to guide the convergence of the algorithm The first one takes the current global best as the heuristic information referencing the “global optimal” idea in particle swarm optimization, therefore, an algorithm called FAGO (Firefly Algorithm based on Global Optimization) is formed The second one is called FABE (Firefly Algorithm based on Bayesian Estimation) using the optimal moving direction calculated by Bayesian estimation as heuristic information The improved algorithms in this study are applied to numerical simulations of several classical test functions and compared with traditional FA and some other′s research are carried out The simulation results show that the proposed algorithms can well accelerate the convergence speed and improve the convergence accuracy…”
Get full text

An Improved Integrity Monitoring Algorithm for GNSS Ｒeceiver by CHEN Ke-xun, ZHANG Xue-ying, QIU Wei

“…Simulation experiments results show that the usability of the improved GNSS receiver integrity monitoring algorithm is 1. 5% ～ 2. 5% higher than traditional algorithm.…”
Get full text

Improvement Algorithm of ViBe in Moving Target Detection by YIN Fang, MENG Di, LI Ao

“…Aiming at the problem that Visual Background Extractor（ViBe） algorithm is not sensitive to light mutation and is mistakenly detected as foreground due to a large number of high-frequency disturbed objects in the background, an improved method is proposed based on the classical ViBe algorithm. …”
Get full text

Improving Quantum Optimization Algorithms by Constraint Relaxation by Tomasz Pecyna, Rafał Różycki

Get full text

Improving Processing Time for the Location Algorithm of Robots by Jing Chen, Liwen Chen

Get full text