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World Congress on Intelligent Control and Automation (WCICA)

作者： Jianxiu Hu Jianchao Zeng Yaping Yang Division of system simulation & computer application Taiyuan University of Science and Technology Taiyuan China

Based on the analysis of theoretical model and evolutionary equations for the standard PSO, a new particle swarm optimization model, called the two-order PSO, was performed, which simulated more precisely the velocity change of particles than the standard PSO. At the same time a new method termed pso for pso was used for the selection of the best parameters c1, c2 in the two-order PSO. The results on five benchmark functions prove the feasibility and validity of this method. Furthermore, the analysis of the results shows that there are revelatory rules on selection of c1, c2 in the two-order PSO

关键词： Particle swarm optimization Computational modeling Analytical models computer simulation computer applications Electronic mail Performance analysis Equations Intelligent control Automation

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A two-order particle swarm optimization model and the selection of its parameters

A two-order particle swarm optimization model and the select...

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6th World Congress on Intelligent Control and Automation, WCICA 2006

作者： Jianxiu, Hu Jianchao, Zeng Yaping, Yang Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024

ISBN: (纸本)1424403324

关键词： Intelligent control

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application INTEGRATION PLATFORM FOR AN AGILE MANUFACTURING ENVIRONMENT BASED ON CORBA/AGENT

APPLICATION INTEGRATION PLATFORM FOR AN AGILE MANUFACTURING ...

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： YIN-ZHANG GUO YAN WANG JAN-CHAO ZENG Division of Simulation System and Computer Application Taiyuan University of Science and Technology Taiyuan ShanxiChina 030024

A new application integration platform for a manufacturing environment is presented, which is based on agent and common request broker architecture (CORBA).CORBA enhances the system integration because it is an industry-standard for interoperable, distributed objects across heterogeneous hardware and software platforms. Agent technology is used to improve the intelligence of the integration system. The platform is open, distributed, and modular to enable the user to adapt its content to his requirements. This application integration platform supports the goals of agile manufacturing: rapid response to changing requirements, reduction in both time and cost of the product realization process, and integration within a heterogeneous,wide-area-networked enterprise. In order to implement the application integration platform, we use a network integration server to integrate the network;design a generic database agent to integrate application, and utilize a wrapper as a CORBA object to integrate the legacy code. Finally, a prototype framework is developed.

关键词： CORBA/Agent agile manufacturing integration platform

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Diversity-controlled particle swarm optimization

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Journal of Computational Information systems 2006年第4期2卷 1481-1488页

作者： Jie, Jing Zeng, Jianchao Han, Chongzhao School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an 710049 China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

Swarm-diversity is an important factor influencing the global convergence of Particle Swarm Optimization (PSO). In order to overcome the premature convergence, the paper develops a diversity-controlled PSO (DCPSO). DCPSO adopts swarm-diversity as a dynamic indicator to control the tuning of the parameters in a search, which in turn, can not only modify the swarm diversity, but also manipulate the exploitation and the exploration adaptively. Some experiments have been done and the results show DCPSO performs very well on benchmark optimization problems, and outperforms the basic PSO with a robust global convergent ability.

关键词： Evolutionary algorithms

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Cooperative evolutionary algorithm based on particle swarm optimization and simulated annealing algorithm

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Zidonghua Xuebao/Acta Automatica Sinica 2006年第4期32卷 630-635页

作者： Wang, Li-Fang Zeng, Jian-Chao Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

The paper proposes a cooperative evolutionary algorithm based on particle swarm optimization (PSO) and simulated annealing algorithm (SA). The method makes full use of the local convergent performance of PSO and the global convergent performance of SA, and can validly overcome the premature problem in PSO through cooperative search between PSO and SA. Experimental results show that the proposed algorithm owns a good globally convergent performance with a faster convergent rate. Moreover, theoretical analysis has been made to prove that the algorithm can converge to the global optimum with probability 1.

关键词： Evolutionary algorithms

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Unified model of particle swarm optimization and its theoretical analysis

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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2006年第1期43卷 96-100页

作者： Zeng, Jianchao Cui, Zhihua Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

Through mechanism analysis of several modified particle swarm optimizations (PSO), a new uniform model of PSO is described, and the convergence is analysed with linear control theory. To improve the calculation efficiency, two enhanced global search capability self-adaptive PSOs, one-population self-adaptive PSO and two-population self-adaptive PSO, are proposed. The one-population self-adaptive PSO uses the diverse coefficients in the first evolutionary strategy. The two-population self-adaptive PSO uses two different populations: one owns global search capability, and the other owns local search, and through exchanging information the algorithm efficiency is improved. The simulation results show the correctness and efficiency of the presented methods.

关键词： Evolutionary algorithms

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Using Accelerator Feedback to Improve Performance of Integral-Controller Particle Swarm Optimization

Using Accelerator Feedback to Improve Performance of Integra...

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049

ISBN: (纸本)9781424404759

Integral-controller particle swarm optimization (ICPSO), influenced by inertia weight w and coefficient ψ is a new swarm technology by adding accelerator information. Based on stability analysis, the convergence conditions imply the negative selection principles of inertia weight w, and the relationship between w and ψ. To improve the computational efficiency, an adaptive strategy for tuning the parameters of ICPSO is described using a new statistical variable reflecting computational efficiency index-average accelerator information. The optimization computing of some examples is made to show that the ICPSO has better global search capacity and rapid convergence speed.

关键词： Particle swarm optimization Average Accelerator Information Integral-controller

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Predicted Particle Swarm Optimization

Predicted Particle Swarm Optimization

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049

ISBN: (纸本)1424404754;9781424404759

The standard particle swarm optimization (PSO) may prematurely converge on suboptimal solution partly because of the insufficiency information utilization of the velocity. The time cost by velocity is longer than position of each particle of the swarm, though the velocity, limited by the constant Vmax, onfy provides the positional displacement To avoid premature convergence, a new modified PSO, predicted PSO, is proposed owning two different swarms in which the velocity without limitation, considered as a predictor, is used to explore the search space besides providing the displacement while the position considered as a corrector. The algorithm gives some balance between global and local search capability. The optimization computing of some examples is made to show the new algorithm has better global search capacity and rapid convergence rate.

关键词： Particle swarm optimization Predicted velocity Exploration capability Exploitation capability

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Generalized model of particle swarm optimization

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Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 2005年第6期18卷 685-688页

作者： Zeng, Jian-Chao Wang, Li-Fang Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030022 China

This paper proposes a novel model - Generalized Particle Swarm Optimization (GPSO), which is based on the analysis of the standard Particle Swarm Optimization and its mechanism. The evolutionary equation of this new model is an abstract form that meets some certain requirements. And some concrete evolutionary equations are also presented in this paper. The results of benchmark functions prove the validity and the efficiency of GPSO.

关键词： Evolutionary equation Generalized model Particle swarm optimization (PSO)

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The Research and Design of Business Component Reuse in Enterprise Information system Integration

The Research and Design of Business Component Reuse in Enter...

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International Conference on Information Technology and applications, ICITA

作者： Yinzhang Guo Guoyou Zhang Lipin Xie Yubin Xu Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan Shanxi China

ISBN: (纸本)0769523161

In this paper, the problem of business component reuse is researched in the integration of rapid reconfigurable enterprise information system. The model of function component is provided, which is based on analyzing and abstracting function commonness from different components in business component domain, the compiling parameters of function component denote a business component type, and the running parameters denote the difference of business components. At the same time, the syntax description of the function components is presented. The reuse of business component is improved in enterprise information system integration by designing function component

关键词： Information systems Object oriented modeling Computational modeling computer simulation computer applications Globalization Buildings Software architecture Software testing Libraries

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