检索结果-内蒙古大学图书馆

Particle swarm optimization using multi-information characteristics of all personal-best information

SPRINGERPLUS 2016年第1期5卷 1页

作者： Huang, Song Tian, Na Wang, Yan Ji, Zhicheng Jiangnan Univ Sch Internet Things Engn 1800 Lihu Ave Wuxi 214122 Jiangsu Peoples R China Jiangnan Univ Minist Educ Engn Res Ctr Internet Things Technol Applicat Wuxi 214122 Peoples R China Jiangnan Univ Dept Educ Technol 1800 Lihu Ave Wuxi 214122 Jiangsu Peoples R China

Convergence stagnation is the chief difficulty to solve hard optimization problems for most particle swarm optimization variants. To address this issue, a novel particle swarm optimization using multi-information characteristics of all personal-best information is developed in our research. In the modified algorithm, two positions are defined by personal-best positions and an improved cognition term with three positions of all personal-best information is used in velocity update equation to enhance the search capability. This strategy could make particles fly to a better direction by discovering useful information from all the personal-best positions. The validity of the proposed algorithm is assessed on twenty benchmark problems including unimodal, multi-modal, rotated and shifted functions, and the results are compared with that obtained by some published variants of particle swarm optimization in the literature. Computational results demonstrate that the proposed algorithm finds several global optimum and high-quality solutions in most case with a fast convergence speed.

关键词： Premature convergence intelligence algorithm Particle swarm optimization Personal-best position

来源：评论

学校读者我要写书评

暂无评论

Modeling Method of Data-driven Model Combined with A Priori Knowledge and Its Application in Average Particle Size Estimation of Composite Colloidal Sols

Modeling Method of Data-driven Model Combined with A Priori ...

引用

第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年

作者： Yang Zhou Wenxi Xu Shaojun Li Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and TechnologyMinistry of Education

We present a universally applicable hybrid modeling method for nonlinear industrial processes that combine the a priori process knowledge with a data-driven *** method constructs a unified framework for the modeling process by integrating a data-driven modeling technique,sampling detection technique,constraint optimization problem,and an evolutionary *** the modeling process,a swarm intelligence algorithm is used to optimize the model parameters under the circumstances of satisfying the constraints of a priori *** adding the constraints of process a priori knowledge,we can obtain more information about the actual process and avoid the over-fitting problem to some extent,especially when modeling a system with a small quantity of *** order to show the effectiveness of the method proposed in this paper,two general data-driven models,the polynomial regression model and radial basis function network model,are used as case ***,a function simulation experiment is designed to test effectiveness,and applied to estimate average particle size of ZrO2-TiO2 composite colloidal sols.

关键词： Data-driven modeling A priori knowledge Constraint handling intelligence algorithm Hybrid model

来源：评论

学校读者我要写书评

暂无评论

Teaching-Learning Based Optimization algorithm based on Course by Course Improvement 11

Teaching-Learning Based Optimization Algorithm based on Cour...

引用

11th International Conference on Computational intelligence and Security (CIS)

作者： Qu, Dapeng Liu, Shuwen Zhang, Di Wang, Jun Gao, Chengxi Liaoning Univ Coll Informat Shenyang Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781467386609

Teaching-learning-based optimization (TLBO) algorithm is a new intelligence algorithm. It takes evaluation scheme which updates learners' grade totally in solving multidimensional function optimization problems, thus decreases the convergence speed. Moreover, the interference phenomena among dimensions would influence the quality of solutions. While all existing improvement strategies on TLBO introduce new parameters, thus destroy the simplicity of TLBO. To solve the above problems, a TLBO algorithm based on Course by course Improvement (TLBOCI) was proposed. This algorithm takes strategy which updates learners' grade based on course by course improvement in teaching and learning phase in each iteration, and this strategy combines an updated value of one course with the values of other courses into a new solution. The results of four classic test functions show that the TLBOCI algorithm could outperform TLBO in quality of solutions and convergence speed under the condition of not introducing new parameters thus keeping the simplicity of TLBO.

关键词： intelligence algorithm teaching-learning-based optimization multi-dimensional function optimization convergence speed

来源：评论

学校读者我要写书评

暂无评论

Research of intelligence Simulation Experiment System Based on Fuzzy AHP and FFT algorithm

Research of Intelligence Simulation Experiment System Based ...

引用

2014 International Conference on Artificial,intelligence and Software Engineering(AISE 2014)

作者： Wei-liang ZHU Bao-xiang LIU Qinggong College Hebei United University

In recent years, the rapid development of modern electronic commerce challenges of software development technology. Because of the complex internal logic of e-commerce, the rigorous security demand, business rules change quickly, which requires the electronic commerce experimental simulation system development technology can be strong and flexible to adapt to the demand of the experimental teaching of electronic commerce. At the same time electronic commerce platform also has the advantages of high efficiency and stable to meet the increasing demand of Internet users. Therefore, it based on the fuzzy analytic hierarchy process, using Java technology design and development to adapt to the simulation system of electronic commerce experimental business majors. According to the algorithm principle of parallel FFT algorithm and its application in digital signal processing, engineering technology, electronic commerce experiment simulation system with high stability in the peak passenger flow when in use. Firstly, this paper introduces the present situation of simulation experiment system. And then introduced the fuzzy AHP theory and FFT algorithm, and establishes a evaluation model of the theory of learning. The author has not explored from the aspects of cognitive and psychological reality, the questionnaire survey and the two test results are not very objective, has yet to be further research.

关键词： intelligence algorithm FFT Fuzzy AHP Simulation experiment system

来源：评论

学校读者我要写书评

暂无评论

Practical Swarm Optimization based Fault-Tolerance algorithm for the Internet of Things

引用

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2014年第3期8卷 735-748页

作者： Luo, Shiliang Cheng, Lianglun Ren, Bin GanNan Normal Univ Ganzhou 341000 Peoples R China Guangdong Univ Technol Guangzhou Guangdong Peoples R China Dongguan Univ Technol Dongguan 523808 Peoples R China

The fault-tolerance routing problem is one of the most important issues in the application of the Internet of Things, and has been attracting growing research interests. In order to maintain the communication paths from source sensors to the macronodes, we present a hybrid routing scheme and model, in which alternate paths are created once the previous routing is broken. Then, we propose an improved efficient and intelligent fault-tolerance algorithm (IEIFTA) to provide the fast routing recovery and reconstruct the network topology for path failure in the Internet of Things. In the IEIFTA, mutation direction of the particle is determined by multi- swarm evolution equation, and its diversity is improved by the immune mechanism, which can improve the ability of global search and improve the converging rate of the algorithm. The simulation results indicate that the IEIFTA-based fault-tolerance algorithm outperforms the EARQ algorithm and the SPSOA algorithm due to its ability of fast routing recovery mechanism and prolonging the lifetime of the Internet of Things.

关键词： System Security Fault Diagnosis intelligence algorithm Internet of Things Cyber-Physical Systems

来源：评论

学校读者我要写书评

暂无评论

On Stereoscopic Machine Vision with limited horizons

On Stereoscopic Machine Vision with limited horizons

引用

International Conference on Mechanical, Electronic and Engineering Technology (ICMEET)

作者： Chen Yumin Wang Xiaoli Zhang Chen Meng Xianmin Harbin Inst Technol Weihai Shandong Peoples R China

ISBN: (纸本)9783038350491

This paper provides a path planning algorithm based on model that contains 3D vision data. Using this model and a six-legged platform, we propose that limited vision field should be considered in a path planning of 3D vision robot. We also give out a machine learning method to analysis a robot's obstacle capacity, and formed vector to measure it. Based on the model, we designed an algorithm that allow robot to navigate in 3D environment. Observation on its behavior proof that our algorithm and model will allow a robot to pass through random 3D terrain.

关键词： Machine Vision intelligence algorithm Robotics

来源：评论

学校读者我要写书评

暂无评论

Plant growth simulation algorithm for solving indeterminate equation

引用

ICIC Express Letters, Part B: Applications 2012年第4期3卷 969-974页

作者： Li, Tong Zhang, Cuihong Su, Weiling Management College Hangzhou Dianzi University Xiasha Higher Education Zone Hangzhou 310018 China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu Ave.Economic Technological Development Zone Dalian 116622 China

Based on Plant Growth Simulation algorithm (PGSA), an intelligence optimization algorithm for solving Indeterminate equation is proposed herein. In this algorithm, the initial plant growth point is obtained after three times fractals of L-system, the solution space of Diophantine equation is looked as plant growth environment, and then the plant system evolution style based on growth regulation and the probability growth model based on plant phototropism theory are established. By solving typical questions, the algorithm PGSA shows its high accuracy for searching and strong stability for solutions. This algorithm herein tries to change the present research situation "one solution to one equation" for solving Indeterminate equation. © 2012 ICIC International.

关键词： Indeterminate equation intelligence algorithm Plant growth simulation algorithm (pgsa) Plant phototropism

来源：评论

学校读者我要写书评

暂无评论

Novel DS-CDMA Multiuser Detector Based on Step Ant Colony Optimization

Novel DS-CDMA Multiuser Detector Based on Step Ant Colony Op...

引用

3rd International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2007)

作者： Zhu, Liang Zhu, Qiuping Xu, Xinyi Deng, Rong Wuhan Univ Sch Elect Informat Wuhan 430072 Hubei Peoples R China

ISBN: (纸本)9781424413119

In this paper, we present a new multiuser detection algorithm based on step ant colony optimization. This algorithm accelerates the process of search by setting the parameters of basic ant colony optimization appropriately and meanwhile introduces a strategy of jumping out of the local optimal solution, thus it can approach the minimum probability of error with great computation efficiency. Simulation results show that the proposed algorithm converges rapidly and provides good BER performance for cases where basic ant colony algorithms perform poorly.

关键词： Code Division Multiple Access Multi-User Detection Ant Colony Optimization intelligence algorithm

来源：评论

学校读者我要写书评

暂无评论

Novel DS-CDMA Multiuser Detector Based on Step Ant Colony Optimization

Novel DS-CDMA Multiuser Detector Based on Step Ant Colony Op...

引用

第三届IEEE无线通讯、网络技术暨移动计算国际会议

作者： Liang Zhu Qiuping Zhu Xinyi Xu Rong Deng School of Electronics Information Wuhan University Wuhan Hubei P.R.China

关键词： Code Division Multiple Access Multi-User Detection Ant Colony Optimization intelligence algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：