检索结果-内蒙古大学图书馆

IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

作者： Zhiwei Ye Ye Cao Aixin Zhang Can Jin Lie Ma Xiang Hu Jiwei Hu Hubei University of Technology Wuhan Jizhi Technology co. LTD Wuhan Fiberhome Technical Services Co. Ltd.

ISBN: (纸本)9781728140704

Image enhancement based on Beta function is a widely used method for it is able to fit multiple transformation curves, which is a significant step for image analysis. The key step for the method is to find the appropriate parameters to determine the grayscale transformation function. However, it needs a lot of time to seek applicable parameters when enumeration is used and random optimization algorithms often have failures within a limited time and are prone to fall into the local optimum. In order to solve the problems a serial coupled mode of stochastic optimization algorithms is investigated in the paper. According to the model, the differential evolution algorithm and cuckoo search algorithm are tried in image enhancement through serial coupling mode and compared with the traditional optimization algorithm. The experimental results reveals that the proposed approach is feasible and the performance is more balanced, which has a good performance on the image enhancement.

关键词： Image enhancement Hybrid algorithm differential evolution algorithm Cuckoo search algorithm image enhancement differential evolution algorithms Optimization algorithms SEARCHING ALGORITHM evolutionary algorithm Cuculidae Serial Publications BETA FUNCTIONS local optimum

来源：评论

学校读者我要写书评

暂无评论

The Design of Digital IIR Filters Using a differential evolution Optimization Algorithm with Taguchi Crossover

The Design of Digital IIR Filters Using a Differential Evolu...

引用

IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Peter Stubberud UNLV Las Vegas Nevada USA

ISBN: (纸本)9781728138862

This paper presents a differential evolution algorithm that uses an elitist, ranking, random selection method and both two and three level Taguchi crossover. The algorithm is applied to 13 commonly used global numerical optimization test functions, including a spherical, three hyper-ellipsoid, the sum of different powers, Rastrigin's, Schwefel's, Griewank's, Rosen-brock's valley, Styblinski-Tang, Ackley's Path, Price-Rosenbrock, and Eggholder's functions. The algorithm is also used to design a number of optimal digital infinite impulse response (IIR) filters.

关键词： evolutionary computation IIR filters optimisation Taguchi methods Infinite impulse response filters Taguchi methods evolutionary algorithm Infinite Impulse Response selection methods differential evolution algorithms

来源：评论

学校读者我要写书评

暂无评论

A Novel Friction Compensation Method Based on a Hybrid Model for Vision-Based Optoelectronic Platform

A Novel Friction Compensation Method Based on a Hybrid Model...

引用

Artificial Intelligence and Electromechanical Automation (AIEA), International Conference on

作者： Huimin Cui Xuebing Zhang Yuning Wang Jijun Ma Beijing Research Institute of Telemetry Beijing China

ISBN: (数字)9781728182889

ISBN: (纸本)9781728182896

With the development of technology, the demand for detection distance and stable tracking accuracy of vision-based stable tracking platforms is getting much higher. However, the line of sight often shakes due to friction, which ultimately causes a decline in imaging quality and a reduction in stable tracking accuracy. Inspired by Lurge friction model and neural network, a hybrid friction model has been proposed in the paper to improve the performance of the photoelectric platform. First of all, a Lurge friction model is established for the static friction part and its parameter is identified by means of differential evolution algorithm. Second, a recurrent single multiplication neuron is built for the system's dynamic friction part and the differential evolution algorithm is also introduced to obtain the model's parameters based on the speed change data collected during free deceleration movement. Finally, the experimental results show that the proposed hybrid friction model can effectively approximate the realistic friction and eliminate the "flat top" and "dead zone" phenomena of speed response. The maximum speed tracking accuracy is reduced to ±0.05 °/s after compensation, which greatly improves the system's speed tracking accuracy and stability accuracy.

关键词： friction compensation optoelectronic platform stability accuracy neural network differential evolution algorithm differential evolution algorithms friction compensation friction force model Hybrid modes tracking accuracy Neural network model parameters

来源：评论

学校读者我要写书评

暂无评论

Non-first-order Kinetics Modelling Method for Stibnite Flotation Process

引用

IFAC-PapersOnLine 2018年第21期51卷 317-322页

作者： De-gang, X.U. Cong, L.U.O. Yi-wan, C.H.E.N. Yong-fang, X.I.E. School of Information Science and Engineering Central South University Changsha410083 China

As the mineral particle size and the drug effect are not uniform, resulting in a single flotation rate constant cannot describe the flotation process accurately. In this paper, based on the results of stibnite batch flotation, the non-first-order kinetic model is proposed to describe the stibnite flotation process. Based on the quadratic orthogonal regression requirements, the collector, pH adjuster and stirring rate were selected as the experimental factors, and the test combination was designed. Aiming at the characteristics of flotation rate constant with time, this paper presents a non-first-order kinetic model of stibnite batch flotation using double exponential function to describe the change of flotation rate constant. With the aim of minimizing the prediction error of recovery rate, the differential evolution algorithm is used to realize the off-line identification of the flotation rate change function. Compared with the first-order kinetics method, the proposed piecewise linear model can better describe and predict the flotation kinetics curve of stibnite. © 2018

关键词： Flotation Antimony compounds evolutionary algorithms Exponential functions Identification (control systems) Kinetic parameters Kinetic theory Optimization Particle size Piecewise linear techniques Rate constants Sulfide minerals differential evolution algorithms Double exponential functions Flotation process Flotation rate constants Flotation rates Kinetic modeling Orthogonal regression Piecewise linear modeling

来源：评论

学校读者我要写书评

暂无评论

An Adaptive differential evolution Algorithm Based on Fuzzy Modeling

An Adaptive Differential Evolution Algorithm Based on Fuzzy ...

引用

International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

作者： Dan-Ting Duan Nan-Kun Mu Xiao-Feng Liao College of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (纸本)9781728105529

The appropriate parameter setting can substantially determine the performance of differential evolution (DE), so parameter design is a very crucial and challenging task in DE. In response to the realistic demands, a novel adjust strategy for adaptive parameter is developed for DE in this paper. By way of the strategy of fuzzy modeling, the phases of optimization are designed as follows, i.e., exploration, exploitation and convergence. The adaptive adjust of F and CR, the control parameters, is determined by the phases of optimization. Meanwhile, an auxiliary movement technique is designed for the convergence population. This technique will help the best individual to avoid the risk of falling into the potential local optima. The proposed algorithm, namely FMDE/rand/1, has been assessed under eight unimodal and multimodal benchmark functions. Results from experiments illustrate that the proposed FMDE/rand/1 is a promising optimization algorithm which will greatly enhance the performance on effectiveness and dynamic.

关键词： Fuzzy modeling differential evolution Global optimization Parameter adaptive fuzzy modeling Global optimization evolutionary algorithm parameter setting parametric design Phase MT differential evolution algorithms Self tuning control parameter Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

The Intelligent Search Method of Ambiguity Function Main Ridge Based on the Adaptive differential evolution Algorithm

The Intelligent Search Method of Ambiguity Function Main Rid...

引用

IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Yunwei Pu Lanyu Ma Wentai Hou Yuanpu Guo Computer Center Kunming Univ. of Science and Tech. Kunming China Faculty of Information Engineering and Automation Kunming Univ. of Science and Tech.

ISBN: (纸本)9781538653746

The ambiguity function is an effective tool to solve the problem of radar emitter signals sorting in complex systems. To improve the real-time and accuracy of the ambiguity function main ridge (AFMR), this paper proposes an intelligent method to search AFMR based on adaptive differential evolution algorithm. The signal is pre-identified by the instantaneous frequency (IF) features to reduce the AFMR search range and the complexity of the problem. In this way, the differential evolution algorithm parameters can be adaptively adjusted according to the pre-recognition results to accelerate the convergence of the algorithm. Then the statistical hypothesis testing theory is used to analyze and test the search results. The experiment results show that the proposed method reduces the time of searching AFMR to about 4% compared with the exhaustive method with higher accuracy and stability.

关键词： Radar emitter signal Adaptive differential evolution algorithm Ambiguity function main ridge Signal sorting and recognition differential evolution algorithms Antiferromagnetic resonance ambiguity function evolutionary algorithm ambiguity Intelligent retrieval instantaneous frequency ridges Crest

来源：评论

学校读者我要写书评

暂无评论

Dynamic Economic Dispatch of Micro-Grid Based on Scenario Analysis

Dynamic Economic Dispatch of Micro-Grid Based on Scenario An...

引用

Sustainable Power and Energy Conference (iSPEC)

作者： Qing Wang Hui Hou Mengya Xue Zhenfeng Xiao Peizhe Xin Peng Liu Automation school Wuhan University of Technology Wuhan Hubei State Grid Hunan Electric Power Co. Ltd Institute of Economics and Technology Changsha China State Grid Economic Technology Research Institute Co. Ltd Beijing

ISBN: (纸本)9781728149318

This work introduces the dynamic economic dispatch of the micro-grid considering the uncertainty of the renewable energy. Firstly, this paper applies scenario analysis method to deal with the uncertainty of the renewable energy. After scenario generation and scenario reduction, the most representative scenario is selected. Secondly, the integrated optimal dispatching model of the micro-grid is established on the basis of considering the economy and the environmental friendliness. Finally, a case study is carried out in selected scenarios, using differential evolution algorithm to solve the integrated optimal dispatching model of micro-grid.

关键词： micro-grid economic dispatch scenario analysis differential evolutionary algorithm scene analysis MICRO-GRID Dispatching evolutionary algorithm Renewable energy differential evolution algorithms

来源：评论

学校读者我要写书评

暂无评论

TRMS Experimental Results of New Nonlinear PID Tuned by DE Algorithm

TRMS Experimental Results of New Nonlinear PID Tuned by DE A...

引用

International Conference on Applied Automation and Industrial Diagnostics (ICAAID)

作者： Fadi ALYOUSSEF Ibrahim KAYA Electrical and Electronics Eng. Dept. Dicle University Diyarbakır TURKEY

ISBN: (纸本)9781728128757

TRMS is a nonlinear system which resembles a dynamic of a helicopter with a strong coupling effect between main and tail rotors. Generally speaking, the simplicity of the linear PID has tempted the control engineers to use it for controlling the nonlinear systems. However, the linear PID controller could not sufficiently handle these systems particularly in terms of producing a fast response with a small overshoot. Therefore, a new nonlinear PID based on the dynamic of biological cell membrane potentials has been proposed to alleviate the overshoot effect with insuring a small tracking error. The parameters of suggested controller have been tuned by using DE algorithm. The simulation and experimental results have illustrated the superior performance of proposed nonlinear controller compared to a linear PID.

关键词： TRMS PID Nonlinear systems Nonlinear PID differential evolution algorithm Proportional Integral Derivative Control Pelvic Inflammatory Disease Nonlinear systems differential evolution algorithms algorithms MT tuning

来源：评论

学校读者我要写书评

暂无评论

A research on short-term hydro-wind economic dispatch problem simulated with a modified differential evolution algorithm 2

A research on short-term hydro-wind economic dispatch proble...

引用

2nd Asia Conference on Power and Electrical Engineering (ACPEE)

作者： Wang Xuemin Li Anqiang Zhang Rui Changjiang Inst Survey Planning Design & Res Wuhan 430010 Hubei Peoples R China

ISBN: (纸本)9781510840744

Due to the wide construction of wind power and the difficulty for it to join the power grid, a short-term hydro-wind economic dispatch (WHED) problem is proposed. WHED system contains several wind power units and hydropower plants, which are renewable and clean. Combined with hydropower plants, the wind power units can join the power grid stably. Then, a WHED system with four cascaded hydropower plants and two wind units is established, and a modified differential evolution (DE) algorithm with chaotic perturbation is proposed for optimizing. Finally, two cases are simulated and analysed, the dispatch results show that the presented model and algorithm are feasible and effective.

关键词： differential evolution algorithms Dispatching Wind energy Power grids WATER POWER hydropower Hydroelectric Power Plants evolutionary algorithm algorithms

来源：评论

学校读者我要写书评

暂无评论

Calibrating a traffic flow model with parallel differential evolution

引用

Civil-Comp Proceedings 2017年 111卷

作者： Strofylas, G.A. Porfyri, K.N. Nikolos, I.K. Delis, A.I. Papageorgiou, M. School of Production Engineering and Management Technical University of Crete Chania Crete Greece

Given the importance of the credibility and validity required in macroscopic traffic flow models while performing real-word simulations, the necessity of employing an efficient, computationally fast and reliable constrained optimization scheme for model calibration appears to be mandatory to ensure that the traffic flow characteristics are accurately represented by such models. To this end, a parallel, metamodel-assisted differential evolution (DE) algorithm is employed for the calibration of the secondorder macroscopic gas-kinetic traffic flow (GKT) model using real traffic data from Attiki Odos freeway in Athens, Greece. The parallelization of the DE algorithm is performed using Message Passing Interface (MPI), while artificial neural networks (ANNs) are used as surrogate models. Numerical simulations are performed, which demonstrate that the DE algorithm can be effectively used for the search of the globally optimal model parameters in the GKT model; in fact the method appears to be promising for the calibration of other similar traffic models as well. © Civil-Comp Press, 2017.

关键词： Traffic control Constrained optimization evolutionary algorithms Kinetic theory of gases Message passing Neural networks Numerical methods differential evolution differential evolution algorithms Macroscopic traffic flow model Message passing interface Model calibration Surrogate model Traffic flow characteristics Traffic flow modeling

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：