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Asia-Pacific Conference on Environmental Electromagnetics

作者： Tan Qiongliang Zhu Feng Zhang Saiqiao Liu Lina SW Jiaotong Univ Coll Elect Engn Chengdu 610031 Peoples R China

ISBN: (纸本)1424401836

Time-domain reconstruction of a two-dimensional dielectric cylinder by using real-coded genetic algorithm is presented in this paper. Scattering from the dielectric cylinder is solved by using finite-difference, time-domain method (FDTD). The dielectric cylinder is represented by a set of geometrical and constitutive parameters. The electromagnetic inverse scattering problem is to retrieve these parameters given the measured. time-domain scattered electric fields on finite receivers. Its cast into an optimization. problem by defining the objective function as the relative error between the measured and simulated time-domain scattered electric fields on finite receivers. The optimization problem is then solved by using the real-coded genetic algorithm. Good agreement is observed between true profiles and numerically reconstructed ones.

关键词： FDTD real-coded genetic algorithm electromagnetic inverse scattering

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An Intelligent Run-to-Run Control Strategy for Chemical-Mechanical Polishing Processes

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IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING 2010年第1期23卷 109-120页

作者： Chen, Chyi-Tsong Chuang, Yao-Chen Feng Chia Univ Dept Chem Engn Taichung 40724 Taiwan

This paper presents a novel intelligent run-to-run control strategy for chemical-mechanical polishing (CMP) processes. With the help of the recursive least squares identification method for model building, a real-coded genetic algorithm is applied to adaptively adjust the discount coefficients for double exponentially weighted moving average (EWMA) controller. The online intelligent scheme can effectively prevent the CMP processes from reaching unstable condition and can thus achieve high control performance. To demonstrate the effectiveness and applicability of the proposed intelligent run-to-run control strategy, two typical case studies are worked out in this paper. Extensive simulation comparisons with traditional double EWMA run-to-run control were performed. The simulation results show that the proposed intelligent run-to-run control is able to achieve better control performance than conventional schemes, especially for a process that has nonlinearities, process noise, and extra large metrology delays.

关键词： Chemical mechanical polishing (CMP) process intelligent control real-coded genetic algorithm run-to-run control system identification

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Robust Tuning of Fixed-parameter Static VAR Compensator Controller for Damping Inter-area Oscillations in Power System

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2010年第8期38卷 974-995页

作者： Phadke, A. R. Fozdar, Manoj Niazi, K. R. Malaviya Natl Inst Technol Dept Elect Engn Jaipur Rajasthan India

This article presents a method for tuning the parameters of a fixed-structure supplementary modulation controller of flexible AC transmission systems devices to enhance the damping of inter-area oscillations. The flexible AC transmission systems device considered in this work is the static VAR compensator. Conventional lead/lag structure of the supplementary modulation controller is retained, but its parameters are tuned using the real-coded genetic algorithm. The advantage of the proposed method is that it retains the simplicity of the conventional fixed-structure controller and also ensures robust acceptable performance over a wide range of system and operating conditions. The proposed approach has been applied to the controller design of the static VAR compensator connected in a two-area four-machine system. The details of implementation and simulation results are presented. Simulation results show that the method can be used for the designing of a supplementary modulation controller, which guarantees a robust closed-loop performance over a pre-specified range of operating and system conditions.

关键词： supplementary modulation controller static VAR compensator real-coded genetic algorithm inter-area oscillations

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Comparison between mathematical modeling and experimental identification of a spatial slider-crank mechanism

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APPLIED MATHEMATICAL MODELLING 2010年第8期34卷 2059-2073页

作者： Huang, Ming-Shyan Chen, Kun-Yung Fung, Rong-Fong Natl Kaohsiung First Univ Sci & Technol Dept Mech & Automat Engn Kaohsiung 824 Taiwan Natl Kaohsiung First Univ Sci & Technol Inst Engn Sci & Technol Kaohsiung 824 Taiwan

In this paper. Hamilton's principle, Lagrange multiplier, geometric constraints, partitioning method and Baumgarte stabilization method (BSM) are employed to derive the dynamic equations of a spatial slider-crank mechanism that is driven by a servomotor. The formulation considers the effects of links masses, external forces and motor electric inputs. Comparing dynamic responses between the experimental results and numerical simulations, dynamic modeling gives a wonderful interpretation for the spatial slider-crank mechanism. In this paper, a new identification method based on real-coded genetic algorithm (RGA) is presented to identify the parameters of a spatial slider-crank mechanism. The method promotes the calculation efficiency very much, and is calculated by real-code without the operations of encoding and decoding. The results of numerical simulations and experimental results prove that the identification method is feasible. The contributions of this paper are that the comparison of mathematical modeling and identification between numerical simulations and experimental results are all realized. (C) 2009 Elsevier Inc. All rights reserved.

关键词： Identification Mathematical modeling real-coded genetic algorithm Spatial slider-crank mechanism

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Design and analysis of SSSC-based supplementary damping controller

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SIMULATION MODELLING PRACTICE AND THEORY 2010年第9期18卷 1199-1213页

作者： Panda, S. Swain, S. C. Rautray, P. K. Malik, R. K. Panda, G. Natl Inst Sci & Technol Berhampur 761008 Orissa India KIIT Univ Bhubaneswar 751024 Orissa India Siksha O Anusandhan Univ Bhubaneswar 751030 Orissa India Indira Gandhi Inst Technol Sarang 759146 Orissa India

Power-system stability improvement by a static synchronous series compensator (SSSC)-based damping controller is thoroughly investigated in this paper. The design problem of the proposed controller is formulated as an optimization problem, and real coded genetic algorithm (RCGA) is employed to search for the optimal controller parameters. Both local and remote signals with associated time delays are considered in the present study and a comparison has been made between the two signals. The performances of the proposed controllers are evaluated under different disturbances for both single-machine infinite-bus power system and multi-machine power system. Simulation results are presented and compared with a recently published modern heuristic optimization technique under various disturbances to show the effectiveness and robustness of the proposed approach. (C) 2010 Elsevier B.V. All rights reserved.

关键词： Static synchronous series compensator Controller design Power system stability real-coded genetic algorithm Single-machine infinite-bus power system Multi-machine power system

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Multiobjective Water Quality Model Calibration Using a Hybrid genetic algorithm and Neural Network-Based Approach

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JOURNAL OF ENVIRONMENTAL ENGINEERING 2010年第10期136卷 1020-1031页

作者： Huang, Yongtai Liu, Lei Dalhousie Univ Dept Civil & Resource Engn Halifax NS B3J 1Z1 Canada

This study aims at coupling a hybrid genetic algorithm (HGA) and a neural network (NN) model for the multiobjective calibration of surface water quality models. The HGA is formed as a robust optimization algorithm through combining a real-coded genetic algorithm with a local search method, i.e., the Nelder-Mead simplex method (NMS). The NN model is developed to approximate the input-output response relationship underlying a numerical water quality model, and is then incorporated into the HGA framework, which results in the HGA-NN approach. This approach has the advantage of evaluating the objective function of the calibration model in a more efficient way. The HGA-NN approach is tested in the calibration of a CE-QUAL-W2 model which is set up to simulate the hydrodynamic process and water quality conditions in Lake Maumelle in central Arkansas. It is found that the HGA-NN approach can improve the computational efficiency. However, it does not guarantee the finding of the parameter values with a low objective function value. An adaptive HGA-NN approach is then proposed to improve its performance. In this adaptive approach, both the water quality model and the NN model are incorporated into the HGA framework. They are executed adaptively to evaluate the objective function. The application results demonstrate that the adaptive approach can be applied to the calibration of water quality models.

关键词： Water quality modeling Automatic model calibration real-coded genetic algorithm Neural network

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LINEARLY TAPERED SLOTLINE ANTENNA ARRAY FOR QUASI-OPTICAL MOLECULAR SPECTROSCOPY

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MICROWAVE AND OPTICAL TECHNOLOGY LETTERS 2010年第5期52卷 1043-1046页

作者： Lukes, Zbynek Lacik, Jaroslav Raida, Zbynek Brno Univ Technol Fac Elect Engn & Comp Sci Dept Radioelect Brno 61200 Czech Republic

In this article, a novel design of a millimeter-wave antenna array consisting of linearly tapered slotline antenna elements is presented. The antenna array was designed or the frequency range front 50 to 600 GHz. A numerical model of the antenna array was developed in CST microwave studio. To optimize the antenna model, a novel real-coded genetic algorithm was proposed. The optimized antenna was fabricated from a low-loss dielectric substrate ARLON CuClad 217, and its parameters were experimentally verified. The antenna was designed for quasi-optical terahertz spectroscopy applications. (C) 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1043-1046, 2010;Published online in Wiley InterScience (***). DOI 10.1002/mop.25110

关键词： linearly tapered slotline antenna (LTSA) antenna array millimeter-wave antenna real-coded genetic algorithm quasi-optical spectroscopy

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The performance verification of an evolutionary canonical particle swarm optimizer

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NEURAL NETWORKS 2010年第4期23卷 510-516页

作者： Zhang, Hong Ishikawa, Masumi Kyushu Inst Technol Dept Brain Sci & Engn Grad Sch Life Sci & Syst Engn Kitakyushu Fukuoka 8080196 Japan

We previously proposed to introduce evolutionary computation into particle swarm optimization (PSO), named evolutionary PSO (EPSO). It is well known that a constricted version of PSO, i.e., a canonical particle swarm optimizer (CPSO), has good convergence property compared with PSO. For further improving the search performance of an CPSO, we propose in this paper a new method called an evolutionary canonical particle swarm optimizer (ECPSO) using the meta-optimization proposed in EPSO. The ECPSO is expected to be an optimized CPSO in that optimized values of parameters are used in the CPSO. We also introduce a temporally cumulative fitness function into the ECPSO to reduce stochastic fluctuation in evaluating the fitness function. Our experimental results indicate that (1) the optimized values of parameters are quite different from those in the conventional CPSO: (2) the search performance by the ECPSO, i.e., the optimized CPSO, is superior to that by CPSO, OPSO, EPSO, and RGA/E except for the Rastrigin problem. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Evolutionary particle swarm optimization Canonical particle swarm optimizer Temporally cumulative fitness function real-coded genetic algorithm Exploitation and exploration Model selection

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Signal quality improvement of holographic data storage using adaptive two-dimensional filter

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OPTICAL REVIEW 2010年第3期17卷 204-209页

作者： Takahata, Yosuke Kondo, Yo Yoshida, Shuhei Yamamoto, Manabu Tokyo Univ Sci Fac Ind Sci & Technol Chiba 2788510 Japan

Holographic data storage is being widely studied for the purpose of developing next-generation large optical memories. A prospective use of this type of memory is in building image archives in large-scale data centers. In particular, demand for energy conservation at data centers, and therefore for holographic data storage, is growing. In holographic data storage, interference between bits occurs owing to wave aberration in the optical system, shrinkage of the medium, and crosstalk noise from neighboring holograms during multiplex recording;as a result of the interference, the reproduced image deteriorates and the bit error rate (BER) increases. In this study, to reduce the BER in both off-axis-type recording and coaxial-type recording, a two-dimensional finite impulse response (FIR) filter is applied to a reproduced image that has been recorded by angle multiplex recording and shift multiplex recording. First, for the optimization of the FIR filter coefficients, the linear minimum mean square error (LMMSE) method is applied;this method optimizes the coefficients by reducing the BER. Furthermore, for evaluating the optimization performance of the LMMSE method, the optimization performance is compared with that of the real-coded genetic algorithm (RCGA), which has the capability to search a wide range of coefficients. The optimization by the LMMSE method has been found to be excellent for off-axis-type recording but not for coaxial-type recording. It is speculated that this is because of the brightness irregularity in the reproduced image, resulting from crosstalk. On the other hand, a marked reduction in the BER is observed using the RCGA, despite the brightness irregularity. In this study, the effectiveness of the LMMSE method for signals recorded by coaxial-type recording, in which large brightness irregularity is expected, is examined using automatic gain control (AGC). It is found that the application of AGC reduces the BER even in the case of coaxial-type recor

关键词： holographic data storage bit error rate optimization FIR filter real-coded genetic algorithm linear minimum mean squared error automatic gain control

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Artificial Immune Network Model Based Controller for Vibration Suppression of flexible structures

Artificial Immune Network Model Based Controller for Vibrati...

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2010 IEEE World Congress on Computational Intelligence

作者： Salleh, Salihatun Md Tokhi, M. Osman Toha, Siti Fauziah Univ Sheffield Dept Automat Control & Syst Engn Mappin St Sheffield S1 3JD S Yorkshire England

ISBN: (纸本)9781424481262

This paper presents a model based controller with immune inspired algorithm to suppress flexible plate vibration. Artificial immune network (AiNet) algorithm with real-valued random initialisation of antibodies is considered to optimise the system model for use in active vibration controller development in a single-input and multi-output (SIMO) configuration. The AiNet model based controller thus developed shows the capability of the approach with relatively better accuracy in comparison to using real-coded genetic algorithm. The simulation results also reveal improvement in vibration reduction and less computational time.

关键词： AiNet algorithm SIMO configuration active vibration controller antibody artificial immune network model based controller artificial immune systems flexible plate vibration flexible structure flexible structures genetic algorithms immune inspired algorithm plates (structures) real-coded genetic algorithm real-valued random initialisation single-input and multi-output configuration vibration control vibration reduction vibration suppression

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