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International Conference on Computational Aspects of Social Networks, CASON

作者： Huaping Mu Changyi Jiao Jianchao Zeng Department of Electronic Information Engineering Hebi College of Vocation and Technology Hebi China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan China

Enlightened by the properties of scale-free network model, BA model is extended and introduced into particle swarm optimization, and a novel two-phase particle swarm optimization with scale-free network model (TPSO-SNM) is proposed. At the early stages of the algorithm, particles are randomly distributed in a ring, new particles are continuously added into the structure based on the node degree and the distance between nodes. At the same time, the global optimum in evolution equation is substituted with the average optimal location in neighborhood. simulation results show that the new method has better ability to find the global optimum solution.

关键词： Particle swarm optimization Heuristic algorithms Convergence Computational modeling Mathematical model simulation Clustering algorithms

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Power saving route algorithm on underground Wireless Sensor Networks

Power saving route algorithm on underground Wireless Sensor ...

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2010 International Conference on Future Information Technology and Management Engineering, FITME 2010

作者： Qiao, Gangzhu Zeng, Jianchao College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou Gansu China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan Shanxi China

ISBN: (纸本)9781424490882

The routing protocol which can meet the requirement of underground wireless sensor network had a decisive role on the monitoring quality and the survival time of network. By combining the beacon nodes chain deployment of tunnel Wireless Sensor Networks, the Minimum Energy Relay Routing (DMERR) algorithm which is based on dynamic path loss parameter is proposed, this algorithm can save the energy of communication by obtain the exact path loss parameter of each place in roadways and calculation the optimum communication distance accurately. The simulation results show that this routing algorithm can meet the requirements of the underground linear wireless sensor networks and reduce the routing energy consumption effectively. © 2010 IEEE.

关键词： Routing algorithms

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Power saving route algorithm on underground Wireless Sensor Networks

Power saving route algorithm on underground Wireless Sensor ...

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International Seminar on Future Information Technology and Management Engineering, FITME

作者： Gangzhu Qiao Jianchao Zeng Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan Shanxi China College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou Gansu China

ISBN: (纸本)9781424490875

关键词： Monitoring Energy efficiency

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Comparing the optimization functions and methods of community detection

Comparing the optimization functions and methods of communit...

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International Seminar on Future Information Technology and Management Engineering, FITME

作者： Jinxia Liu Jianchao Zeng Yaowen Xue Lanzhou University of Technology Lanzhou Gansu CN Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan China College of Economics and Management Shanxi Normal University Linfen China

Detecting and characterizing the community structure of complex network is fundamental. There are many algorithms, were sorted to three types of criterion: mathematical method,mechanism of community structure and optimization method. In this paper, we discuss the optimization methods of community detection, compare and analyse the objective functions and solution methods. Based on this, we develop a new optimization function, named community quantification which is accurate for many types of networks.

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Comparing the optimization functions and methods of community detection

Comparing the optimization functions and methods of communit...

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2010 International Conference on Future Information Technology and Management Engineering, FITME 2010

作者： Liu, Jinxia Zeng, Jianchao Xue, Yaowen College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050 China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan China College of Economics and Management Sbanxi Normal University Linien China College of Economics and Management Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9781424490882

Detecting and characterizing the community structure of complex network is fundamental. There are many algorithms, were sorted to three types of criterion: mathematical method, mechanism of community structure and optimization method. In this paper, we discuss the optimization methods of community detection, compare and analyse the objective functions and solution methods. Based on this, we develop a new optimization function, named community quantification which is accurate for many types of networks. © 2010 IEEE.

关键词： Complex networks

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Individual predicted integral-controlled particle swarm optimisation

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International Journal of Innovative Computing and applications 2009年第2期2卷 115-122页

作者： Cai, Xingjuan Tan, Ying Division of System Simulation and Computer Application Taiyuan University of Science and Technology 030024 China

Integral-controlled particle swarm optimisation (ICPSO) is a novel variant of particle swarm optimisation by incorporating two integral controllers into the methodology. Although the population diversity of ICPSO is large enough, the performance is not always well when dealing with multi-modal problems, the reason is partly due to the wrong guiding direction dominated by the best location found by entire swarm. Therefore, in this paper, a new strategy, quadratic interpolation method, is introduced to estimate the exact local optima in the best location neighbours. simulation results show this new variant provide an efficient local search capability than other three variants of particle swarm optimisation when solving multi-modal numerical problems. Copyright © 2009 Inderscience Enterprises Ltd.

关键词： Particle swarm optimization (PSO)

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Particle swarm optimization with non-linear individual cognitive strategy

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Journal of Information and Computational Science 2009年第1期6卷 123-129页

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

Cognitive learning factor is an important parameter used to control the weight of current position. However, it is always setting the same value for each particle in previous literatures. This type of setting ignores the different performances among particles' current positions. Generally, the better performance of one position means there is a more probability that global optima falls around it. This phenomenon implies the selection strategy of cognitive coefficient with individual setting, instead of uniform control, may provide better result. Thus, a modified version of particle swarm optimization with non-linear individual cognitive selection strategy is designed, in which the cognitive learning factor of each particle is determined according to the different current position's performance. Furthermore, a new mutation strategy is introduced to avoid premature convergence. simulation results show the proposed method is effective and efficient. © 2009 Binary Information Press.

关键词： Particle swarm optimization (PSO)

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Globally asymptotically stable for exponential type stochastic swarms

Globally asymptotically stable for exponential type stochast...

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2009 2nd International Symposium on Information Science and Engineering, ISISE 2009

作者： Xue, Zhibin Zeng, Jianchao College of Electric and Information Engineering University of Technology Lanzhou 730050 China Department of Chemical Machinery Chemical Engineering College Qinghai University Xining 810016 China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

ISBN: (纸本)9780769539911

A novel Lagrangian "individual-based" isotropic continuous time exponential type stochastic swarming model in an n-dimensional Euclidean space with a family of attraction/repulsion function is proposed in this article. The stability of aggregating behavior of the swarms system are verified by stability theoretical analysis and numerical simulation. Stability analysis and numerical simulations results further indicate that the individual members living in group during the course of coordinative motion can realize the mutual aggregating behavior, the motion of each individual member is a combination of the inter-individual interactions, meanwhile, which are also presented to demonstrate the effectiveness of our model. The attraction/repulsion function is odd, so the attractive force and repulsion force taking effect in opposite direction that leads to aggregation behavior. Moreover, numerical simulation results of globally asymptotically stability analysis also verify the capability of the proposed relevant theories. © 2009 IEEE.

关键词： Stability

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Design and implementation of simulation system for monitoring capital flow based on agent

Design and implementation of simulation system for monitorin...

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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Xu, Jinmao Xue, Yaowen Gao, Huimin Zhang, Pengzhu Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China College of Economics and Management Taiyuan University of Science and Technology Taiyuan 030024 China Antai College of Economics and Management Shanghai Jiao Tong University Shanghai 200052 China

ISBN: (纸本)9780769539317

During the study of abnormal capital flow, people can not access to a real financial transaction data as a result of many factors, therefore this article took the ways of Intelligent Agent role simulation, designed an Agent decision-making model to verify the data collected. And from different perspectives the visualization of supervision to capital abnormal flow can be achieved. © 2009 IEEE.

关键词： Visualization

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Practical stability analysis for exponential type stochastic swarms

Practical stability analysis for exponential type stochastic...

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2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

作者： Xue, Zhibin Zeng, Jianchao College of Electric and Information Engineering Lanzhou University of Technology Lanzhou 730050 China Department of chemical machinery Chemical engineering college Qinghai University Xining 810016 China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

ISBN: (纸本)9781424445073

A novel Lagrangian "individual-based" isotropic continuous time exponential type stochastic swarming model in an n-dimensional Euclidean space with a family of attraction/repulsion function is proposed in this article. The stability of aggregating behavior of the swarms system are verified by practical stability theoretical analysis and numerical simulation. Practical stability analysis and numerical simulations results further indicate that the individual members living in group during the course of coordinative motion can realize the mutual aggregating behavior, the motion of each individual member is a combination of the inter-individual interactions, meanwhile, which are also presented to demonstrate the effectiveness of our model. The attraction/repulsion function is odd, so the attractive force and repulsion force taking effect in opposite direction that leads to aggregation behavior. ©2009 IEEE.

关键词： Multi agent systems

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