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Solving traveling salesman problems by genetic algorithms

自然科学进展（英文版） 2003年第2期13卷 135-141页

作者： LIANG Yanchun GE Hongwei Zhou Chunguang LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Institute of High Performance Computing Singapore 117528 Singapore College of Mathematics Science Jilin University Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Singapore Department of Mechanical Engineering National University of Singapore Singapore 119260 Singapore

The gene section ordering on solving traveling salesman problems is analyzed by numerical experiments. Some improved crossover operations are presented. Several combinations of genetic operations are examined and the functions of these operations are analyzed. The essentiality of the ordering of the gene section and the significance of the evolutionary inversion operation are discussed. Some results and conclusions are obtained and given, which provide useful information for the implementation of the genetic operations for solving the traveling salesman problem.

关键词： genetic algorithms traveling salesman problem gene section evolutionary inversion genetic operations

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Computation speedup in the dynamic simulation of MEMS by macromodels

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自然科学进展(英文版) 2003年第3期13卷 219-227页

作者： LIN Wuzhong LIANG Yanchun LEE Kwok Hong LIM Siak Piang LEE Heow Pueh Institute of High Performance Computing Singapore 117528 Institute of High Performance Computing Singapore 117528 College of Computer Science and Technology Jilin UniversityChangchun 130012 China Department of Mechanical Engineering National University of Singapore Singapore 119260

A doubly clamped microbeam actuated by electrostatic force with squeezed gas film damping is a well-known and standard micro-device in microelectromechanical system (MEMS) for many researchers to demonstrate how reduced-order dynamic macromodel is an effective way to faithfully capture the device behaviors. However it still takes time to directly recompute the time-dependant nonlinear terms in macromodels which are generated by a proper orthogonal decomposition (POD) method with Galerkin procedure at every time step during the macromodel simulation. This paper proposes two methods for speeding up the computation of macromodel simulations. In the first method, the computation speedup is achieved based on the concept of precomputation upon the basis functions are available. In the second method, cubic splines approximation is used to interpolate the basis functions and their first and second derivatives, and spatial integration is performed by application of the Gaussian quadrature. Numerical results show both methods could enhance the efficiency of the macromodel simulation compared with our previous computation results.

关键词： MEMS macromodels model order reduction proper orthogonal decomposition

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A computational-intelligence-based optimization of agents' initial positions in land combat simulation

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自然科学进展(英文版) 2003年第8期13卷 620-625页

作者： WU Chunguo LIANG Yanchun GE Hongwei CAO Lijuan LEE Heow Pueh College of Computer Science and Technology Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Singapore College of Mathematics Science Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Singapore Institute of High Performance Computing Singapore 117528 Singapore Department of Mechanical Engineering National University of Singapore Singapore 119260 Singapore

The optimization of agents' initial properties enables agents to perform their assigned tasks more perfectly. This paper presents an optimizing method using the combination of radial basis function (RBF) neural network and genetic algorithm (GA). In the land combat simulation, the method can ensure that the agents optimized defeat the agents not optimized absolutely. Compared with the optimization based on support vector machines (SVM), the proposed method improves the efficiency more than twenty times, so it suits the cases where the speed as well as performance is required.

关键词： multi-agent system RBF neural network support vector machine land combat simulation genetic algorithm

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Advances in simulated modeling of vibration systems based on computational intelligence

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自然科学进展(英文版) 2002年第12期12卷 881-886页

作者： LIANG Yanchun LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong Zhou Chunguang College of Computer Science and Technology Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sci Institute of High Performance Computing Singapore 117528 Department of Mechanical Engineering National University of Singapore Singapore 119260 Singapore College of Computer Science and Technology Jilin University Changchun 130012 China

Computational intelligence is the computational simulation of the bio-intelligence, which includes artificial neural networks, fuzzy systems and evolutionary computations. This article summarizes the state of the art in the field of simulated modeling of vibration systems using methods of computational intelligence, based on some relevant subjects and the authors' own research work. First, contributions to the applications of computational intelligence to the identification of nonlinear characteristics of packaging are reviewed. Subsequently, applications of the newly developed training algorithms for feedforward neural networks to the identification of restoring forces in multi-degree-of-freedom nonlinear systems are discussed. Finally, the neural-network-based method of model reduction for the dynamic simulation of microelectromechanical systems (MEMS) using generalized Hebbian algorithm (GHA) and robust GHA is outlined. The prospects of the simulated modeling of vibration systems using techniques of computational intelligence are also indicated.

关键词： computational intelligence artificial neural network fuzzy system evolutionary computation vibration system

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Using wavelet transform and neural network for solid velocity profiles

Using wavelet transform and neural network for solid velocit...

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SICE Annual Conference

作者： Xin-Jie Wu Ju-Jang Lee Gui-he Qin Department of Physics Liaoning University Shenyang China Department of Electrical Engineering & Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea Department of Computer Jilin University Changchun China

ISBN: (纸本)0780376315

A measurement method of velocity profile is presented. The bandwidth of the filtering signal of sensor is difficult to be accurately obtained. To overcome the shortcoming, wavelet transform is used to determine the bandwidth of the filtering signal. RBF neural network is employed to replace conventional image reconstruction algorithms, which has fast and accurate advantages. The simulation experimental results have shown that the velocity measurement method is reliable.

关键词： Wavelet transforms Neural networks Solids Velocity measurement Filtering Capacitance Bandwidth Fluid flow measurement Correlation Low pass filters

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Fuzzy Sliding Mode Load Frequency Control of Multiarea Interconnected Power Systems

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IFAC Proceedings Volumes 2001年第22期34卷 452-457页

作者： Meng Xiangping Meng Xiangyin Liu Dayou Tan Wanyu Department of Electrical Engineering Changchun institute of Technology Kuanping Road 4 Changchun Jilin P R. China 130012 Department of Computer Science Jilin University Qianwei Road 10 Changchun Jilin P R. China 130012

A fuzzy sliding mode load frequency control method for multiarea interconnected power systems is proposed in this paper. The method using sliding mode surface with integral model makes the systems can reach on switching surface from any initial state. After reaching on switching surface, systems are controlled by PI controller based on new area control error. The coefficient of switching control is adjusted by fuzzy control model automatically. When considering generation rate constraint and the governor deadband nonlinearity, the proposed control method can make systems have good dynamic performance. The design of controller in each area only considers the state information of itself area, and doesn't consider the one of the others, thus make decentrilised control be easier. Simulation results show that the proposed method is simple, effective, and can ensure that the overall system is asymptotically stable.

关键词： Load frequency control Sliding mode control Fuzzy control Robustness Decentralised control Power system

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A visual information association memory approach based on ordered dynamical system model

A visual information association memory approach based on or...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Dongcheng Shi Hexin Chen School of Computer Science & Engineering Jilin Institute of Technology Changchun China School Of Information Science & Engineering Jilin University China

This paper presents a nonlinear state equation of ordered dynamical system model (ODSM) and a potential function on system state space by the order parameter. For visual information association memory constructed an ordered dynamical system approach that based on the data feature. Finally, the experimental results what shows that the performance is more efficient.

关键词： Space technology Nonlinear equations computer vision Biological system modeling Control systems Transforms Force control Integral equations computer science Information science

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The analysis of coupled harmonics in correlative noise

The analysis of coupled harmonics in correlative noise

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International Conference on Signal Processing Proceedings (ICSP)

作者： Wang Hongzhi Xu Jing Liu Dihua Wang Shuxun School of Computer Science & Engineering Jilin Institute of Technology Changchun China Information College Jilin University Changchun China

The problem of coupled harmonics in correlative multiplicative and additive noise is studied. We propose the Fourier series polyspectra approach to estimate the coupling frequencies in nonzero mean correlative multiplicative noise. The statistical performance is also analyzed. Simulation examples show the effectiveness of the algorithms.

关键词： Frequency estimation Additive noise Fourier series Independent component analysis computer science Educational institutions Performance analysis Brain modeling Couplings Nonlinear systems

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An improve algorithm of motion compensation MPEG video compression

An improve algorithm of motion compensation MPEG video compr...

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1999 IEEE International Vehicle Electronics Conference, IVEC 1999

作者： Wang, Shigang Chen, Hexin Dept. of computer Engineering ChangChun Posts and Telecommunications Institute ChangChun130012 China Dept. Of Instrumental Science and Engineering JiLin University of Technology ChangChun130025 China

This paper presents an improved algorithm of motion compensation MPEG video compression-vector matching motion compensation (VMMC). The matching method of the improved algorithm is different from the traditional block... 详细信息

ISBN: (纸本)0780352963

关键词： Motion compensation

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An improve algorithm of motion compensation MPEG video compression

An improve algorithm of motion compensation MPEG video compr...

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IEEE International Vehicle Electronics Conference

作者： Shigang Wang Hexin Chen Department of computer Engineering ChangChun Posts and Telecommunications Institute Changchun China Department Of Instrumental Science and Engineering Jilin University Changchun China

关键词： Motion compensation Transform coding Video compression Image coding Motion estimation Video coding Bit rate Hardware Very large scale integration Telecommunication computing

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