检索结果-内蒙古大学图书馆

作者： Worrasete Tansurat Wichai Chattinnawat Department of Industrial Engineering Faculty of Engineering Chiang Mai University

Designing the supply chain network model that takes into account product quality could be one of the most key factors that significantly improve the performance of organizations and also affects the most customer satisfaction in a long-term ***,this model is based on a single product and a single production *** paper aims at designing a three-echelon supply chain model including multiple suppliers,multiple manufacturers with multi-stages inspection,and multiple *** mathematical problem is formulated with Cost of Quality(COQ) integrated into Supply Chain Network Design(SCND) to minimize the total supply chain cost involving transportation costs and production ***,the paper proposes a meta-heuristic called Particle Swarm Optimization algorithm used to solve the model for the supply chain lot size and sampling inspection *** the numerical data of the case study,the developed technique can determine the minimum of total supply chain cost at quality inspection 30.95%.

关键词： Supply Chain Network Design Quality Cost Cost of Quality COQ pso algorithm

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Tuning of Digital PID Controller Using Particle Swarm Optimization

Tuning of Digital PID Controller Using Particle Swarm Optimi...

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第二十九届中国控制会议

作者： Mohammad DASHTI Kambiz SHOJAEE S.M.H.SEYEDKASHI Mojtaba BEHNAM Dept.of Electrical Engineering Sadjad institute of higher education Dept.of Electrical and Computer Engineering University of Tehran Dept.of Mechanical Engineering Tarbiat Modares University Mechatronics Laboratory(LIM) politecnico di Torino

PID controllers are one of the most applicable controllers in different *** main important need in application of these controllers is their parameters tuning in order to gain desired *** tuning rules for their design are usually based on trial and error which are so time consuming,not accurate and have considerable *** this paper,an accessible method with high accuracy and speed has been presented for determination of these control parameters,using pso optimization algorithm and performance assessment *** results show that there is a considerable difference between this method’s results and the other method’s.

关键词： PID Controller Tuning Rules Assessment Criteria pso algorithm

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A pso optimization algorithms Based on the Priori probability

A PSO optimization algorithms Based on the Priori probabilit...

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World Automation Congress

作者： Wei Zhao Xingsheng Cai College of Information Technology JiLin Agriculture University JiLin Changchun

ISBN: (纸本)9781467344975

pso algorithm is easy to operate and to realize, and it has got many scholars' attention once proposed. In recent years there has appeared many improved pso algorithm, but it cann't get the global optimal answer in probability 1. Thinking over the problem using probability theory, this paper can achieve the optimal answer as far as possible big Priori probability, and experiments show that the improved pso algorithm has avoided local minima successfully and got higher search rates.

关键词： pso algorithm Priori probability Optimization

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SVM Model for Influencing Factors of Financing

SVM Model for Influencing Factors of Financing

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2016 International Congress on Computation algorithms in Engineering

作者： Rui Zheng Ningjing Zhang School of Economics and Management Xi'an Shiyou University

In the trend of diversified economic development, how to entirely and systematically build a quantitative model for influencing factors of financing is a hot topic and difficult problem in the research of financial field. Based on SVM algorithm, this paper analyzes the influencing factors of China's small-and-medium-sized corporate financing, and establishes a financing weight regression model, in order to avoid decoupling, fuzzy evaluation and other issues. The accuracy of SVM model depends on the model parameters. The bionic algorithm and pso algorithm are introduced, and the norm of two adjacent prediction matrix differences is served as a fitness function, in order to solve the problems of affecting the prediction results due to numerical instabilities in the model prediction process. And this paper establishes a model with an ideal effect of the robustness and accuracy through introducing pso-SVM algorithm and based on MATLAB platform.

关键词： financing factors SVM pso algorithm regression

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Optimal Design for Cogging Torque Reduction of Transverse Flux Permanent Motor Using Particle Swarm Optimization algorithm

Optimal Design for Cogging Torque Reduction of Transverse Fl...

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第4届国际电力电子及运动控制国际会议

作者： G. Q. Bao, D. Zhang, J.H. Shi and J.Z. Jiang School of Electromechanical Engineering and Automation Shanghai University, shanghai, 200072, China

Great emphasis is paid on transverse flux permanent motors (TFPM) in recent years especially in powerful propulsion system. However, the cogging torque in TFPM leads to mechanical vibration and noise inevitably. This paper presents a new TFPM with combined stator and concentrating flux rotor configurations. The related design parameters that reduce the cogging torque are investigated by using equivalent magnetic network method (MNM) for magnetic field analysis and particle swarm optimization (pso) algorithm for optimization. The computation result shows the pso can minimize the cogging torque substantially without deterioration the performance of TFPM.

关键词： TFPM cogging torque equivalent magnetic network method pso algorithm

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Gait Recognition Method Based on Hybrid Kernel and Optimized Parameter SVM

Gait Recognition Method Based on Hybrid Kernel and Optimized...

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2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

作者： Jian Ni Libo Liang College of information and Electronic Engineering Hebei University of Engineering Handan China 056038

The gait recognition algorithm adopt support vector machine based on hybrid kernel function and Parameter Optimization. Partial kernel function and overall kernel function are fitted to compose super-kernel function, so that the SVM obtain better generalization ability and generalization ability. In terms of parameter selection, the text uses the objective function and combine OPS algorithm to select the best kernel parameter. This method makes use of the distance of training samples of different classes to find the optimal (or effective) nuclear parameters instead of the standard SVM training samples. It avoids strong empirical and large amount of calculation of the traditional SVM on model selection. Then the gaits are classified by the support vector machine models. This algorithm is applied to a data-set including thirty individuals. Experimental results demonstrate that the algorithm performs at an encouraging recognition rate and at a relatively lower computational cost.

关键词： gait recognition SVM hybrid kernel objective function pso algorithm

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Two-Stage Force Particle Swarm Optimization algorithm and Application in Hydraulic System Reliability Optimization

Two-Stage Force Particle Swarm Optimization Algorithm and Ap...

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2015 International Conference on Fluid Power and Mechatronics

作者： Chengyu Yao Xueyun Tan Dongning Chen Shijun Lv Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University

In view of the particle swarm optimization(pso) algorithm's shortages of easily trapping into local optimum and premature convergence, an improvement research from the perspective of interaction mechanism among particles is made in this paper. Consider advantages and disadvantages of the current improved pso algorithms from the aspect of force, the two-stage force particle swarm optimization(TFpso) algorithm is proposed. The proposed algorithm, which employs staged search strategy to achieve a trade-off between global exploration and local exploitation abilities, divides search process into two stages and constructs corresponding force rules combining with the idea of attractive and repulsive forces in artificial physics. In order to demonstrate the performance of the proposed algorithm in solving optimization problems, TFpso algorithm is compared with some well-known pso algorithms in reliability optimization for hydraulic system. Comparison results show that TFpso algorithm obtains the best optimization results and enhances the performance of pso in terms of accuracy of the optimal solution and local search ability.

关键词： pso algorithm force rule TFpso algorithm reliability optimization hydraulic system

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CONSTRUCTION METHOD OF INFORMATION SECURITY DETECTION BASED ON CLUSTERING algorithm

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SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2024年第6期25卷 5295-5301页

作者： Chen, Shaobo Shaanxi Univ Technol Sch Math & Comp Sci Hanzhong 723000 Peoples R China

A method for K-prototype clustering, which can process mixed data types, is proposed first. An algorithm for information security evaluation of hybrid clusters based on K-prototypes was constructed. This method makes full use of the excellent global optimization performance of pso and effectively solves the defect that the K-protection function quickly falls into local optimization. Simulation results show that the proposed method can effectively prevent local extreme values and improve overall performance.

关键词： Clustering Information security Safety evaluation pso algorithm K -prototypes

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An Alliance Generation algorithm Based on Modified Particle Swarm Optimization for Multiple Emotional Robots Pursuit-evader Problem

An Alliance Generation Algorithm Based on Modified Particle ...

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The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

作者： Hao Wang Cheng Luo Baofu Fang Hefei University of Technology Hefei China

ISBN: (纸本)9781479951499

This paper researches the alliance generation algorithm with emotional factors on the basis of multiple robots pursuit-evader ***,this paper constructs an emotional model for pursuit robots: we not only apply the basic emotion method to the emotional expression,but also simulate the process of emotional transfer with Hidden Markov Model(HMM).Secondly,we determine the cooperation intention according to the robots' emotional factors,so that we can prevent the robots with the negative emotions from involving in the mission in case of a negative impact on the ***,we introduce the subgroup size on the foundation of particle swarm optimization(pso)to avoid the premature convergence problem,thus the algorithm can obtain the maximum profit in a relatively short period of ***,we bring in the dynamic redistribution mechanism for a better pursuit efficiency.

关键词： emotional robot multiple robots pursuit-evader problem alliance generation algorithm pso algorithm dynamic redistribution mechanism

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Research on Task Scheduling in Distributed Vulnerability Scanning System

Research on Task Scheduling in Distributed Vulnerability Sca...

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作者： Jie Jiang Sixin Tang College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

Network threats caused by system vulnerabilities is increasing gradually, the distributed vulnerability scanning system can scan large-scale and complex networks and report the vulnerability information. Task scheduling is one of the core components in a distributed system. In this paper, we use dynamic optimization algorithms to improve the task scheduling efficiency of distributed vulnerability scanning system, we propose a pso-based task scheduling scheme and improves the search ability of particles by adjusting algorithm parameters. We compared the time consume when using existing‘Resource Aware Scheduling algorithm'(RASA) with the basic particle swarm optimization(pso) algorithm and the improved particle swarm optimization(Ipso) algorithm. Our results show that Ipso has better performance than other scheduling methods.

关键词： Vulnerability scanning Distributed Task scheduling pso algorithm

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