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Apical-dominant particle swarm optimization

Progress in Natural science:Materials International 2008年第12期18卷 1577-1582页

作者： Zhihua Cui~(a,b) Xingjuan Cai~b Jianchao Zeng~b Guoji Sun~a a State Key laboratory for Manufacturing systems Engineering,Xi’an Jiaotong University,Xi’an 710049,China b Division of system simulation and Computer Application,Taiyuan University of science and technology,Taiyuan 030024,China [a]State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an 710049 China [b]Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish *** improvements have been proposed within the framework of this biological assumption. However,in this paper,the search pattern of PSO is used to model the branch growth process of natural *** provides a different poten- tial manner from artificial *** illustrate the effectiveness of this new model,apical dominance phenomenon is introduced to construct a ncvel variant by emphasizing the influence of the *** this improvement,the population is divided into three different kinds of buds associated with their ***,a mutation strategy is applied to enhance the ability escaping from a local ***- ulation results demonstrate good performance of the new method when solving high-dimensional multi-modal problems.

关键词： Apical-dominance phenomenon Particle swarm optimization Branch growth model High-dimensional multi-modal benchmarks

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Procedural level of detail enhancement algorithm of ChunkLod real time terrain rendering

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Xitong Fangzhen Xuebao / Journal of system simulation 2008年第21期20卷 5763-5766+5773页

作者： Shen, Yan-Chun Zhu, You-Hong Wen, Zhuan-Ping Cao, Li Laboratory of VR and System Simulation Beijing Information Science and Technology University Beijing 100085 China

The ChunkLod algorithm was researched. Because the technology lacked process that viewpoint is near to the ground, the algorithm was adopted taking massive model as processing unit and the procedural enhancement of LOD was proposed. And the algorithm increased the efficiency of rendering by combining the local triangle surface simplified algorithm and the error evaluation and control algorithm, and it avoided large-scale computing caused by over-LOD. Finally, it shows that the visual effect of terrain information is expressed well when the algorithm is working virtually-the geography resources information management system, for example. The experiment indicates that the improved level of detail enhancement of ChunkLod is a practical terrain algorithm with total levels of detail technology.

关键词： ChunkLod Level of detail enhancement Level of details Real time terrain rendering

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Design of an Adaptive Communication system for Implementation on Board a Future Algerian LEO Satellite

Design of an Adaptive Communication System for Implementatio...

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IEEE Conference on Aerospace

作者： L. Hadj Abderrahmane D.E. Baba Hamed M. Benyettou Division of Space Instrumentation Centre of Space Techniques Arzew Algeria Modelling and Simulation Laboratory University of Science and Technology of Oran Oran Algeria

Understanding of the physical communications environment from low Earth orbits is the key to the successful implementation of the communications system. This already complex environment is further complicated by the constraints of the microsatellite platform. The small, low mass platform offers limited downlink power and a small antenna envelope and ground plane. This affects the performance of both uplink and downlink in the fading LEO environment. The 'little LEO' satellite systems must be designed to operate in the presence of this environment. The concept of adaptivity is of paramount importance in the design of future LEO satellite communication systems, in which a careful exploitation of the limited available resources (bandwidth, power, etc.) is required. An adaptive system, that can increase the rate of data transmission is desired. This system should be capable of changing its rate in response to the current signal conditions. An adaptive modulation scheme, which uses different constellation patterns with multi-level Turbo-coded modulation is proposed to be implemented on board the future Algerian Microsatellite. Basic concepts are highlighted and an overview of the achieved results is presented. The system is tested under AWGN noise and Rayleigh fading conditions. The system is found to provide good performance in AWGN and moderate fading conditions.

关键词： Adaptive systems Low earth orbit satellites Artificial satellites Downlink AWGN Rayleigh channels Fading Satellite communication Bandwidth Data communication

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Athens statement

Athens statement

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2007 20th Symposium of the Montreal Protocol

作者： Rowland, F. Sherwood Brasseur, Guy Bojkov, Rumen D. Marie-Lise Farman, Joe Godin-Beekmann, Sophie Gonzalez, Marco Isaksen, Ivar S.A. Karol, Igor Kurylo, Michael J. McFarland, Mack Pyle, John Stolarski, Richard Zerefos, Christos Department of Chemistry and Earth System Science 516 Rowland Hall University of California Irvine CA 92697-2025 United States Earth and Sun Systems Laboratory National Center for Atmospheric Research P.O. Box 3000 Boulder CO 80307 United States Lossnitzgrund str. 8 D-01445 Radebeul Germany CNRS Service D'Aéronomie SPARC Office Route des Gatines 91371 Verrieres Le Buisson cedex France European Ozone Research Coordinating Unit Department of Chemistry University of Cambridge Lensfield Road Cambridge CB2 1EW United Kingdom Service D'Aéronomie CNRS Universite Pierre et Marie Curie 4 place Jussieu 75252 Paris Cedex 05 France P.O. Box 30552 Nairobi - 00100 Kenya University of Oslo Dept. of Geosciences P.B. 1022 Blindern 0315 Oslo Norway Voeikov Main Geophysical Observatory Roshydromet Head of Laboratory 7 Karbyshev str. St.-Petersburg 194021 Russia Goddard Earth Sciences and Technology Center University of Maryland Baltimore County NASA Goddard Space Flight Center 8800 Greenbelt Road Greenbelt MD 20771 United States DuPont Fluoroproducts Chestnut Run Plaza 702 2330-A4417 Lancaster Pike Wilmington DE 19805 United States Centre for Atmospheric Science Cambridge University Chemistry Department Cambridge CB2 1EW United Kingdom NASA GSFC Code 613.3 Greenbelt MD 20771 United States IO3C Greece

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Annual business and news:: Beginning the 31st year of the Journal of Guidance, Control, and Dynamics

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

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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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2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007

作者： Cai, Xingjuan Cui, Zhihua Zeng, Jianchao 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)0769528821

Particle swarm optimization (PSO) simulates the behaviors of birds ocking and £sh 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 ef£cient. © 2007 IEEE.

关键词： Particle swarm optimization (PSO)

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The Procedure Geometry Detail Enhancement Algorithm of Chunklod

The Procedure Geometry Detail Enhancement Algorithm of Chunk...

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International Conference on Image and Graphics (ICIG)

作者： Yan-chun Shen You-hong Zhu Zhuan-ping Wen Li Cao Laboratory of VR and System Simulation Beijing Information Science and Technology University Beijing China

This paper represents the Procedure geometry detail enhancement algorithm of Chunklod. The enhancement algorithm adopts massive model as processing unit. Because the Chunklod algorithm lacks process that viewpoint is near to the ground. The enhancement algorithm improves the efficiency of rendering by combining the local triangle surface simplified algorithm and the error evaluation & control algorithm, it avoids large-scale computing caused by over-LOD. Finally ,the paper shows that the visual effect of terrain information is expressed well when the algorithm is working virtually-taking the geographical information system for example .The results indicates that the improved level of detail enhancement of ChunkLod is a practical terrain algorithm with total levels of detail technology.

关键词： Central Processing Unit Rendering (computer graphics) Large-scale systems Management information systems Yarn Information geometry Real time systems Natural gas Computer graphics Laboratories

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Particle swarm optimization using Leávy probability distribution

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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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Engineer-in-the-loop simulation for cooperative operations in urban environment

Engineer-in-the-loop simulation for cooperative operations i...

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2007 AIAA Modeling and simulation Technologies Conference

作者： Rasmussen, Steven J. Gross, David C. Jodeh, Nidal M. Feitshans, Gregory L. Pruett, Stanley H. Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States General Dynamics Control Science Center of Excellence Control Science Center of Excellence System Control Interfaces Branch Human Effectiveness Directorate Aerospace Vehicles Technology Assessment and Simulation Branch Air Vehicles Directorate

ISBN: (纸本)1563479060

In this paper we discuss the development and utilization of a simulation that was designed to enable engineers to investigate and exercise prototypical cooperative control algorithms and user interfaces for a system that will allow a single operator to control a team of unmanned aerial vehicles in an urban area. One such operational scenario is that of a small unmanned aerial vehicle flying over an urban area, dispensing micro-aerial vehicles to examine points of interest from a close distance. The Air Force Research laboratory is currently conducting a research program entitled Cooperative Operations in UrbaN TERrain (COUNTER) designed to develop and investigate cooperative control algorithms, software, and hardware needed to perform such a mission. The type of simulation discussed in this paper is one of four different simulation types that are being used to develop and test the COUNTER systems. These simulations include an engineering simulation, an Engineer-in-the-Loop simulation (EILSIM), an operator interface development simulation, and an operator-in-the-loop simulation. While the COUNTER-EILSIM is the focus of this paper, we briefly describe the other simulations and how they fit into the development and testing process.

关键词： Urban planning

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Verification, validation, and accreditation (VV&A) one voice -?unified, common & cross-cutting

Verification, validation, and accreditation (VV&A) one voice...

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Summer Computer simulation Conference 2007, SCSC 2007, Part of the 2007 Summer simulation Multiconference, SummerSim 2007

作者： Schwartzenburg, Frank Park, Jennifer Stutzman, Marcy Oates, William Johnson, Donald Bailey, Michael Youngblood, Simone Army Model and Simulation Office Alion Science and Technology United States Navy Modeling and Simulation Office VV and A Lead United States Navy Modeling and Simulation Office Northrop Grumman Space and Mission Systems Corp. United States Air Force Agency for Modeling and Simulation M and S Technical Standards United States Air Force Agency for Modeling and Simulation Engineer Systems Solutions United States United States Marine Corps Operations Analysis Division United States Modeling and Simulation Coordination Office Johns Hopkins University Applied Physics Laboratory United States

ISBN: (纸本)9781622763580

This paper establishes support for a unified Verification, Validation, and Accreditation (VV&A) approach to serve as the one "common and cross-cutting" voice for VV&A across the Department of Defense (DoD) and Military Services. Modeling and simulation (M&S) management has been transforming for over a year. Various communities enabled by M&S have been identified at the DoD- and Service-levels. Transforming M&S management has brought about coordination amongst and between the communities to support common services, data, and tools. These common and cross-cutting areas include the standardization of processes, development of best practices, and the utility and application of M&S that together provide overarching benefits to all communities. Currently, M&S management decisions are made by committees through a process of proposals, presentations, and interviews. The VV&A leaders from the DoD, Army, Navy, Air Force, and Marine Corps have collaborated on this paper to reaffirm the need for VV&A by all communities, to identify the need for one voice to speak for VV&A to all communities, and to offer solutions for the road ahead.

关键词： Metadata

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