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The application of projection pursuit classification in the process of strategy selection and evaluation based on the real coded accelerating genetic algorithm

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Chinese Business Review 2008年第1期7卷 40-44,64页

作者： JIANG Fa-zhu YANG Xiu-feng College of Economic and Management Heilongjiang August First Land Reclamation University Daqing 163319 China

During the process of enterprises＇ strategy evaluation and selection, there are many evaluating indicators, and among them there are some potential correlations and conflicts. Thus it poses the problems to the decision-makers how to conduct correct evaluation on a business and how to make strategy adjustment and selection according to the evaluation. Based on the qualitative and quantitative method, the paper introduces the Projection Pursuit Classification （PPC） model based on the Real-coded accelerating genetic algorithm （RAGA） into the process of enterprises＇ strategy evaluation and selection. The characteristic of PPC model is that it ultimately overcomes the influence of the proportion of subjectivity and avoids precocious convergence, thus providing a new objective method for strategy evaluation and selection by pursuing the most objective strategy evaluation to make the relatively sensible strategy portfolio and action.

关键词： projection pursuit strategy evaluation accelerating genetic algorithm

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Maximum Entropy Spectral Estimation Based on accelerating genetic algorithm

Maximum Entropy Spectral Estimation Based on Accelerating Ge...

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2009中国控制与决策会议

作者： ZHANG Ming~(1,2),ZHANG Jian-yun~(2,3),JIN Ju-liang~4,WANG Guo-qing~(2,3),HE Rui-min~(2,3) 1.State Key Laboratory of Hydrology-water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China. 2.Research Center for Climate Change,MWR,Nanjing,210029,China 3.Nanjing Hydraulic Research Institute,Nanjing 210029,China. 4.School of Civil Engineering,Hefei University of Technology,Hefei 230009,China.

＜正＞The purpose of this paper was to solve the problems of spectral peak shifting and line splitting existing in Burg’s Maximum Entropy Spectral Analysis method（MESA）,to enhance the resolution of entropy spectral,and to increase the adaptability of spectral estimation algorithm to signal length,signal noise ratio and initial phase.A method of accelerating genetic algorithm based maximum Entropy Spectral estimation method（GES） was proposed,where accelerating genetic algorithm was used to optimize the parameters of MESA and the four equivalent conditions of MESA were used as objective *** typical simulation cases indicated that the phenomenon of spectral peak shifting and line splitting were absent in the frequency spectral estimated by GES,and the ability to discriminate two closed frequency was *** with the traditional MESA methods,GES has good performances in signal processing.

关键词： maximum entropy spectral estimation Burg’s algorithm spectral peak shifting spectral line splitting accelerating genetic algorithm

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Dynamic finite element model updating of prestressed concrete continuous box-girder bridge

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Earthquake Engineering and Engineering Vibration 2009年第3期8卷 399-407页

作者： Lin Xiankun Zhang Lingmi Guo Qintao Zhang Yufeng Institute of Vibration Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Jiangsu Transportation Research Institute Nanjing 210017 China

The dynamic finite element model （FEM） of a prestressed concrete continuous box-girder bridge, called the Tongyang Canal Bridge, is built and updated based on the results of ambient vibration testing （AVT） using a real-coded accelerating genetic algorithm （RAGA）. The objective functions are defined based on natural frequency and modal assurance criterion （MAC） metrics to evaluate the updated FEM. Two objective functions are defined to fully account for the relative errors and standard deviations of the natural frequencies and MAC between the AVT results and the updated FEM predictions. The dynamically updated FEM of the bridge can better represent its structural dynamics and serve as a baseline in long-term health monitoring, condition assessment and damage identification over the service life of the bridge .

关键词： prestressed concrete continuous box-girder bridge field ambient vibration testing dynamic characteristics model updating accelerating genetic algorithm objective function

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Optimization Design of Multi-hole and Varied Diameter Pipe Based on RAGA

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Journal of Northeast Agricultural University(English Edition) 2004年第1期11卷 84-86页

作者： WANGLi-kun WEIYong-xia FUQiang CollegeofWaterConservancyandBuilding NortheastAgriculturalUniversityHarbinHeilongjiang150030PRC

Combining real accelerating genetic algorithm(RAGA) with the optimization design of multi-hole and varied diameter pipe, the authors solved the problem of optimizing multi-dimensional parameters at the same time. In which the advanced convergence and easily to run into partial optimization were avoid. Applied the RAGA to solving the problem in the optimization design of fixed piping sprinkler irrigation system. The optimized parameters, such as diameters and the length of pipe were calculated and the result was reasonable, which provides as a reference to readers who work at related research.

关键词： spray irrigation multi-hole and varied diameter pipes accelerating genetic algorithm optimization design

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