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IEEE International Conference on Systems, Man and Cybernetics

作者： Zhang, CK Hu, H Harbin Inst Technol Shenzhen Grad Sch Mech Engn & Automat Dept Shenzhen Peoples R China

ISBN: (纸本)0780392981

Using particle swarm optimization (pso) algorithm to evolve an optimum input subset for a SVM is proposed. Binary pso algorithm is employed in feature selection, in which each particle represented as a binary vector corresponds to a candidate input subset. A swarm of particles flies through the input set space for targeting the optimal subset. In order to evaluate the reasonable fitness of each input subset, pso algorithm is used to adaptively evolve SVM to obtain the best performance of network, in which each particle represented as a real vector corresponds to the candidate kernel parameters Of SVM. This method has been applied in a real financial time series forecasting, the results show that it has better performance of generalization, and higher rate of convergence.

关键词： pso algorithm optimum input time series forecasting

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Improved Regularization based Blind Image Deconvolution using pso algorithm for PMMW Images Application 9

Improved Regularization based Blind Image Deconvolution usin...

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9th Iranian Conference on Machine Vision and Image Processing (MVIP)

作者： Mansoori, M. A. Mosavi, M. R. Bisjerdi, M. H. Iran Univ Sci & Technol Dept Elect Engn Tehran *** Iran

ISBN: (纸本)9781467385398

Blind deconvolution algorithms in image processing estimate the original image and the true Point Spread Function (PSF) simultaneously with prior information about the PSF or the original image. This is an ill- posed problem and requires regularization to be solved. In addition to the type of regularization functions, the value of regularization parameters can drastically affect the output result. In this paper, we propose a Particle Swarm Optimization (pso) algorithm for selecting optimum values of regularization parameters in blind image deconvolution. The algorithm has been tested on standard images and then compared with non- improved ones, in terms of three standard metrics. A real Passive Millimeter Wave (PMMW) image blurred by an unknown PSF is also used in this algorithm to obtain a sharp deblurred image with an estimate of the PSF. Simulation results show that the proposed method improves the quality of the estimated PSF and the deblurred image.

关键词： Blind deconvolution pso algorithm PSF estimation PMMW images regularization parameter

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A Modified pso algorithm for Constrained Multi-Objective Optimization

A Modified PSO Algorithm for Constrained Multi-Objective Opt...

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3rd International Conference on Network and System Security

作者： Li, Lily D. Li, Xiaodong Yu, Xinghuo Guo, William CQUniv Sch Comp Sci Rockhampton Qld Australia RMIT Univ Sch Elect & Comp Engn Melbourne Vic Australia RMIT Univ Sch Comp Sci & Informat Melbourne Vic Australia CQ Univ Sch Management & Informat Syst Rockhampton Qld Australia

ISBN: (纸本)9781424450879

This paper presents a modified pso algorithm for solving constrained multi-objective optimization problems. Based on the constraint dominance concept, the proposed approach defines two sets of selection rules for determining the cognitive and social components of the pso algorithm. The simulation results to the four constrained multi-objective optimization problems demonstrate the proposed approach is able to find Pareto-optimal solutions effectively.

关键词： Constraint Multi-objective Optimization pso algorithm

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Detection of Plural Cracks in an Infinite Plate by pso algorithm

Detection of Plural Cracks in an Infinite Plate by PSO Algor...

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9th International Conference on Fracture and Damage Mechanics

作者： Oda, Kazuhiro Yoshimatsu, Naoaki Morisaki, Tetsuya Tokuyama Coll Technol Dept Mech & Elect Engn Yamaguchi 7458585 Japan Tokuyama Coll Technol Mech & Control Engn Course Yamaguchi 7458585 Japan

ISBN: (纸本)9780878492411

This paper presents the determination of number of cracks, lengths, locations and angles of plural cracks by inverse analysis on the basis of strains measured around the cracks. The strains due to plural cracks at any points in infinite plate are calculated by using the body force method. The analysis of inverse problem is carried out by using the pso algorithm, in which the fitness is a reciprocal of difference between the strains calculated by the body force method and the measured strains. The effectiveness of present method is clarified through numerical simulation. The results show that the present method using the pso algorithm and the body force method gives accurate results for inverse problem of plural cracks.

关键词： Inverse Problem Crack Detection Plural Cracks pso algorithm Body Force Method

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A Text Clustering Method Based on Two-dimensional OTSU and pso algorithm

A Text Clustering Method Based on Two-dimensional OTSU and P...

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1st International Symposium on Computer Network and Multimedia Technology

作者： Chen He-Nian He, Bin Yan, Lili Li, Junqing Ji, Wentian Hainan Coll Software Dept Comp Software Qionghai 571400 Peoples R China

ISBN: (纸本)9781424452729

Fast and high-quality text clustering algorithm is an important and challenging problem in effectively navigating. Such as the high-dimensional sparse text data, poor efficiency of unsupervised feature selection, and defects existing in classical clustering methods and so on. In this paper, an effective and unsupervised text clustering method (OK-pso) is proposed. First, k-means is used to calculate the distance from each term to the cluster centers, and then the two-dimensional Otsu algorithm is included to evaluate the optimization of clustering distance threshold. The process of 2D Otsu is taken by pso algorithm. Finally, several experiments are taken based on OK-pso and some other methods. The experimental results illustrate the efficiency of OK-pso method proposed in this paper.

关键词： text clustering k-means 2D Otsu algorithm pso algorithm

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A Fuzzy logic-based approach to verify the optimized parameters a gas turbine power plant by pso algorithm

A Fuzzy logic-based approach to verify the optimized paramet...

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13th Iranian Conference on Fuzzy Systems (IFSC)

作者： Alizadeh, Saeed Khosravi, Ahmad Khademi, Maryam Islamic Azad Univ South Tehran Branch Dept Comp Engn Tehran Iran Islamic Azad Univ South Tehran Branch Dept Energy Syst Engn Tehran Iran Islamic Azad Univ South Tehran Branch Dept Appl Math Tehran Iran

ISBN: (纸本)9781479912278;9781479912285

Exergoeconomic and thermoeconomic analysis are among powerful and effective tools to find the best solutions between the two objective functions that can be used by energy engineers, minimizing economic cost and maximizing exergetic efficiency. In this research, operating parameters of a gas turbine power plant that produces 140 MW of electricity is optimized by using exergoeconomic principles and pso algorithm. The comparison of results between the pso algorithm and the base model shows very good improvements, i.e. the fuel mass flow rate by optimized parameters is 11.24% lower than the base case. Also the exergetic efficiency is 6.55% more than the base case. The verification by fuzzy logic shows that total matching pso results and base case is 99.5%.

关键词： Fuzzy logic pso algorithm Exergy analysis Exergoeconomic optimization Gas turbine

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Cloud Computing Resource Schedule Strategy Based on pso algorithm

Cloud Computing Resource Schedule Strategy Based on PSO Algo...

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International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)

作者： Xiong, Yingyidu Wu, Yanyan Ningbo DaHongYing Univ Ningbo Zhejiang Peoples R China

ISBN: (纸本)9783038350125

Resource schedule Strategy is the core technology of cloud computing. pso algorithm is one of dynamic adaptation resource scheduling algorithms to cloud computing. The virtual machines and the hosts can be scheduled reasonable by adjusting parameters. The resource can be scheduled quickly because of the dynamic trend calculation of pso algorithm, to ensure real-time of the Cloud Calculation.

关键词： Cloud computing Resource scheduling pso algorithm

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Optimizing Self-organizing method in traffic lights with pso algorithm in a single junction modeled with a cellular automaton 1

Optimizing Self-organizing method in traffic lights with PSO...

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Intelligent Systems and Computer Vision (ISCV)

作者： Aarab, Ilham Madani, Abdellah Kissi, Mohamed Chouaib Doukkali Univ Fac Sci Dept Comp LAROSERI BP 20 El Jadida 24000 Morocco Chouaib Doukkali Univ Fac Sci Dept Comp EMMID El Jadida 24000 Morocco

ISBN: (纸本)9781479975112

Among raised solutions for global flow optimization in traffic jam, we can quote traffic lights optimization. Several researches treated this problem and proposed different models to solve it. In this paper, we will use the cellular automaton to model the traffic flow in crossroads and the self-organizing method to control traffic lights and then we will apply the pso algorithm to get the appropriate values of parameters for self-organizing method. We will demonstrate that pso algorithm provides an optimal solution in order to improve the global flow.

关键词： cellular automaton models self-organizing method pso algorithm

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DESIGNING PID CONTROLLER FOR 4TH ORDER SYSTEM BY MEANS OF ENHANCED pso algorithm WITH DISCRETE CHAOTIC DISSIPATIVE STANDARD MAP

DESIGNING PID CONTROLLER FOR 4TH ORDER SYSTEM BY MEANS OF EN...

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24th European Modeling and Simulation Symposium (EMSS)

作者： Pluhacek, Michal Senkerik, Roman Davendra, Donald Zelinka, Ivan Tomas Bata Univ Zlin Fac Appl Informat Nam TG Masaryka 5555 Zlin 76001 Czech Republic VSB TUO Fac Elect Engn & Comp Sci Dept Comp Sci Ostrava 70833 Czech Republic

ISBN: (纸本)9788897999010;9788897999096

The main aim of this paper is the utilization of discrete chaotic Dissipative standard map based chaos number generator to enhance the performance of pso algorithm. This paper presents application of proposed algorithm to design PID controller for 4th order system. Results of this application are compared with previously published results in the area of evolutionary PID controller design.

关键词： PID controller Optimization Evolutionary algorithms pso algorithm Chaos Dissipative standard map

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Optimal placement of active braces by using pso algorithm in near- and far-field earthquakes

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International Journal of Advanced Structural Engineering 2016年第1期8卷 29-44页

作者： Mastali, M. Kheyroddin, A. Samali, B. Vahdani, R. Department of Civil Engineering ISISE Minho University Campus de Azurem Guimaraes 4800-058 Portugal Faculty of Civil Engineering Semnan University Seman Iran Department of Civil Engineering and Applied Mechanics University of Texas Arlington TX United States School of Civil and Environmental Engineering University of Western Sydney Sydney Australia

One of the most important issues in tall buildings is lateral resistance of the load-bearing systems against applied loads such as earthquake, wind and blast. Dual systems comprising core wall systems (single or multi-cell core) and moment-resisting frames are used as resistance systems in tall buildings. In addition to adequate stiffness provided by the dual system, most tall buildings may have to rely on various control systems to reduce the level of unwanted motions stemming from severe dynamic loads. One of the main challenges to effectively control the motion of a structure is limitation in distributing the required control along the structure height optimally. In this paper, concrete shear walls are used as secondary resistance system at three different heights as well as actuators installed in the braces. The optimal actuator positions are found by using optimized pso algorithm as well as arbitrarily. The control performance of buildings that are equipped and controlled using the pso algorithm method placement is assessed and compared with arbitrary placement of controllers using both near- and far-field ground motions of Kobe and Chi–Chi earthquakes. © 2016, The Author(s).

关键词： Near- and far-field earthquakes Optimal actuator position Pole assignment method pso algorithm

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