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Particle swarm optimization using Leávy probability distribution

2nd International Symposium on Intelligence Computation and applications, ISICA 2007

作者： Cai, Xingjuan Zeng, Jianchao Cui, Zhihua Tan, Ying Division of System Simulation and Computer Application Taiyuan University of Science and Technology Shanxi 030024 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

ISBN: (纸本)9783540745808

Velocity threshold is an important parameter to affect the performance of particle swarm optimization. In this paper, a novel velocity threshold automation strategy is proposed by incorporated with Leávy probability distribution. Different from Gaussian and Cauchy distribution, it has an infinite second moment and is likely to generate an offspring that is far away from its parent. Therefore, this method employs a larger capability of the global exploration by providing a large velocity scale for each particle. simulation results show the proposed strategy is effective and efficient. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Optimal systems

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Self-learning Particle Swarm Optimization Based on Environmental Feedback

Self-learning Particle Swarm Optimization Based on Environme...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Xingjuan Cai Zhihua Cui Jianchao Zeng Ying Tan Division of system simulation and computer application Taiyuan University of Science and Technology Shanxi China State Key Laboratory for Manufacturing Systems Engineering Xi''an Jiaotong University Xi'an China

Particle swarm optimization (PSO) simulates the behaviors of birds ocking and poundsh schooling. However, its biological background does not concern the environmental affection. Inspired by the interaction between environment and individuals, a new version - self-learning particle swarm optimization based on environmental feedback (SL-PSO), is proposed, in which two self-learning strategies are designed so that each particle adjusts its moving direction according to the feedback information from the environment. Furthermore, a mutation operator is introduced to avoid premature convergence phenomenon. simulation results show the proposed algorithm is effective and efpoundcient.

关键词： Particle swarm optimization Convergence Birds Biological system modeling Computational modeling computer simulation Educational institutions Genetic mutations State feedback computer applications

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Predictive,-velocity modified particle Swarm optimization

Predictive,-velocity modified particle Swarm optimization

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26th Chinese Control Conference, CCC 2007

作者： Zhihua, Cui Xingjuan, Cai Jianchao, Zeng Guoji, Sun Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 0300240 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

ISBN: (纸本)7900719229

Velocity update equation of standard particle swarm optimization uses only the size information of previous velocity vector whereas ignoring the corresponding direction information. By adding predictive velocity, a new predictive-velocity modified particle swarm optimization (PVPSO) which using the size and direction information of velocity vectors to estimate and correct particle's next generation positions is proposed. Theoretical analysis proofs the new algorithm owns an enhanced global search capability. The optimization computing of some examples is made to show that the PVPSO has better global search capacity and rapid convergence speed.

关键词： Optimization

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Self-adaptive PID-controlled particle swarm optimization

Self-adaptive PID-controlled particle swarm optimization

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26th Chinese Control Conference, CCC 2007

作者： Cai, Xingjuan Cui, Zhihua Zeng, Jianchao Tan, Ying Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

ISBN: (纸本)7900719229

As a new version of particle swarm optimization (PSO), PID-controlled PSO introduces the concept of controller into the algorithm structure. However, with the introduction of PID controller, three additional parameters are incorporated into the algorithm. Thus, how to provide a proper selection of these parameters is an important problem to affect the algorithm efficiency. In this paper, the relationships among these parameters are conducted by the stability theory. Further, a self-adaptive parameter selection strategy is proposed. simulation results show the proposed strategy is effective.

关键词： Self adjusting control systems

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Architecture research and IC design for embedded ultra-micro processor

Architecture research and IC design for embedded ultra-micro...

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International Symposium on High Density Packaging and Microsystem Integration 2007, HDP'07

作者： Chen, Zhang-Jin Jin, Zhe-Ming Xu, Mei-Hua Ran, Feng Computer Center Shanghai University 149 Yanchang Rd. Shanghai 200072 China Microelectronic Research and Development Center Shanghai University 149 Yanchang Rd. Shanghai 200072 China Key Laboratory of Advanced Displays and System Application Ministry of Education Shanghai University 149 Yanchang Rd. Shanghai 200072 China

ISBN: (纸本)1424412536

In an embedded system design, the mere serial function of a processor is generally used to improve its correctness and decrease the design period without making use of the entire functions of the processor. To reduce the area and the loss of cost-effectiveness brought about by the general processor, a new embedded ultra-micro processor circuit is proposed. It lies between the simplex parallel logic and a general processor. The processor can be easily tailored or expanded according to the design goals and whereby the flexibility and cost performance of the entire system are achieved. © 2007 IEEE.

关键词： Embedded systems

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The instruction fetch unit design of embedded ultra-micro processor

The instruction fetch unit design of embedded ultra-micro pr...

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International Symposium on High Density Packaging and Microsystem Integration 2007, HDP'07

ISBN: (纸本)1424412536

Based on the logic design of the ultra-micro processor core, an instruction fetch unit for the processor is proposed to enhance the performance of the processor when access to the memory is considered. The techniques of instruction prefetch and pipelining are adopted in design of the instruction fetch unit with emphasis on simple hardware implementation. © 2007 IEEE.

关键词： Microprocessor chips

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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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Global and localized parallel preconditioning techniques for large scale solid Earth simulations

Global and localized parallel preconditioning techniques for...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Kai Wang Sangbae Kim Jun Zhang K. Nakajima H. Okuda Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky Lexington KY USA Research Organization for Information Science and Technology Meguro Tokyo Japan Department of Quantum Engineering and System Sciences University of Tokyo Bunkyo Tokyo Japan

We investigate and compare a few parallel preconditioning techniques in the iterative solution of large sparse linear systems arising from solid Earth simulation with and without using contact information in the domain partitioning process. Previous studies are focused on using static or matrix pattern based incomplete LU (ILU) preconditioners in a localized preconditioner implementation. Our current studies are concerned with preconditioner performance for solving two different cases with and without known contact information. For the cases with contact information, we use localized threshold value based incomplete LU (ILUT) preconditioner to improve efficiency. For the cases without contact information, we use a global sparse approximate inverse preconditioner with a static sparsity pattern to achieve robustness. Numerical results from simulating ground motion on a parallel supercomputer are given to compare the effectiveness of these parallel preconditioning techniques.

关键词： Large-scale systems Earth Solid modeling Linear systems Sparse matrices Computational modeling computer simulation Uniform resource locators Geoscience Information science

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Human systems integration and advanced technology in engineering department workload and manpower reduction

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NAVAL ENGINEERS JOURNAL 2003年第1期115卷 57-65页

作者： Lively, KA Seman, AJ Kirkpatrick, M KENNETH A. LIVELY graduated from the University of Colorado with a BS in applied mathematics and an MS in mathematics in 1976 and from the Massachusetts Institute of Technology with an MS in electrical engineering and the degree ocean engineer in naval architecture and marine engineering in 1984. He retired from the U.S. Navy in 1989 after 23 years of service. Assignments included electrical officer on the USS Constellation (CV 64) project engineer for the DDG 51 machinery control system (NAVSEA) and DDG 51 Technical Director (NAVSEA). He was vice president of the PDI Division of Bird-Johnson Company from July 1989 to November 1998 where he managed various gas turbine and machinery controls related development projects. He joined Anteon Corporation's Systems Engineering Group as senior controls engineer in December 1998 where he provided technical support to the integrated power systems program (NAVSEA PMS 510) and managed the Office of Naval Research Afloat Laboratory. DR. MARK KIRKPATRICK is currently an independent consultant in human factors and work-load/manning analysis and modeling. He holds a Ph.D. degree in experimental psychology from The Ohio State University and has 34 years of experience in applied human factors. From 1982 through 2000 Dr. Kirkpatrick served as the senior vice president of Carlow International. Prior to joining Carlow in 1982 Dr. Kirkpatrick served as a member of the technical staff at North American Rockwell's Missiles Division and as a project director and vice president for Essex Corporation. His areas of expertise include workload simulation task analysis operator-in-the-loop simulation human performance experimentation statistical analysis and human factors T&E. He has directed and/or participated in human factors projects for the U.S. Navy U.S. Army NASA Department of Transportation the U.S. Nuclear Regulatory Commission and private industry. ANTHONY J. SEMAN III is the technical manager for the reduced ship's crew by virtual presence (RSVP) advanced technology d

Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems under conditions of normal steaming and during casualty response will need to be markedly reduced via automated monitoring, autonomous control, and other technology initiatives. Current DDG 51 class ships can be considered as a manpower baseline and under Condition III typical engineering control involves seven to eight watchstanders at manned stations in the Central Control Station, the engine rooms and other machinery spaces. In contrast to this manning level, initiatives such as DD 21 and the integrated engineering plant (IEP) envision a partnership between the operator and the automation system, with more and more of the operator's functions being shifted to the automation system as manning levels decrease. This paper describes some human systems integration studies of workload demand reduction and, consequently, manning reduction that can be achieved due to application of several advanced technology concepts. Advanced system concept studies in relation to workload demand are described and reviewed including. Piecemeal applications of diverse automation and remote control technology concepts to selected high driver tasks in current DDG 51 activities. Development of the reduced ship's crew by virtual presence system that will provide automated monitoring and display to operators of machinery health, compartment conditions, and personnel health. The IEP envisions the machinery control system as a provider of resources that are used by various consumers around the ship. Resource needs and consumer priorities are at all times dependent upon the ship's current mission and the availability of equipment pawnbrokers.

关键词： Naval warfare

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