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New and accurate synthesis formulas for multilayer homogeneous coupling structure

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS 2007年第10期49卷 2486-2489页

作者： Guney, Kerim Yildiz, Celal Kaya, Sabri Turkmen, Mustafa Erciyes Univ Fac Engn Dept Elect & Elect Engn TR-38039 Kayseri Turkey

New, accurate closed-form formulas for the synthesis of multilayer homogeneous coupling structure (MHCS) are presented. They are obtained by using a differential evolution algorithm (DEA), and are useful for the computer-aided design (CAD) of MHCS. The average percentage error is found to be 0.38% for 1825 MHCS samples having different electrical parameters and physical dimensions, as compared with the results of the quasi-static analysis. (C) 2007 Wiley Periodicals, Inc.

关键词： multilayer homogeneous coupling structure synthesis formulas differential evolution algorithm

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Synthesis formulas for multilayer homogeneous coupling structure with ground shielding

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2007年第14期21卷 2073-2084页

作者： Guney, K. Yildiz, C. Kaya, S. Turkmen, M. Erciyes Univ Fac Engn Dept Elect Engn & Elect TR-38039 Kayseri Turkey

This paper presents new and accurate synthesis formulas for the multilayer homogeneous coupling structure with ground shielding (MHCS-WGS). The synthesis formulas are obtained by means of a differential evolution algorithm (DEA), and are useful to microwave engineers for accurately calculating the physical dimensions of MHCS-WGS. The average percentage error is calculated to be 0.8% for 13614 MHCS-WGS samples having different electrical parameters and physical dimensions, as compared with the results of quasi-static analysis.

关键词： differential evolution algorithm FREQUENCY-SELECTIVE SURFACES CYLINDRICAL CONDUCTORS STRIP LINES MMICS STRATEGY DESIGN CIRCUITS MODEL

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A non-linear algorithm of photoelastic tomography for the axisymmetric problem

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EXPERIMENTAL MECHANICS 2007年第6期47卷 821-830页

作者： Aben, H. Errapart, A. Tallinn Univ Technol Inst Cybernet EE-12618 Tallinn Estonia

A non-linear algorithm of photoelastic tomography for the measurement of axisymmetric stress fields has been elaborated. It is free of any assumptions concerning the value of the birefringence or rotation of the principal stress axes along the light rays. The algorithm is based on the measurement of characteristic directions and phase retardation in two parallel sections of the test object. Stress components are presented in the form of power series along the radial coordinate. A differential evolution algorithm has been used for finding the stress field parameters, which fit the measurement data best. Application of the method is illustrated by residual stress measurement in a drinking glass.

关键词： photoelastic tomography residual stress glass differential evolution algorithm

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Data mining macrokinetic approach based on ANN and its application to model industrial oxidation of p-xylene to terephthalic acid

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CHEMICAL ENGINEERING SCIENCE 2007年第10期62卷 2641-2651页

作者： Yan, Xuefeng E China Univ Sci & Technol Coll Informat Sci & Engn Automat Inst Shanghai 200237 Peoples R China

Considering that kinetics and thermodynamics are coupled with heat and mass transfer effects being present in the liquid-phase catalytic oxidation of p-xylene to terephthalic acid (OXTA) in an industrial type of continuous stirred tank reactor (CSTR) and that the time evolution of the concentration of all the interest intermediate and final products of OXTA in the industrial CSTR cannot be obtained to estimate macrokinetic parameters, a novel data mining macrokinetic approach based on artificial neural network (ANN) was proposed to develop the macrokinetic model of OXTA in the industrial CSTR, which mines intrinsic kinetics and transport phenomena information from the sample data collected from OXTA in the industrial CSTR. Firstly, the reaction orders of OXTA are estimated by the mass transfer-free experiment data in the laboratory semi-batch stirred tank reactor. The kinetics of OXTA in the industrial CSTR is assumed to be zeroth-order with respect to gaseous reactants, 0.65-order with respect to p-xylene, and first-order with respect to the other liquid reactants, respectively. Secondly, ANN is employed to model the influence of the reaction parameters on the rate constants of OXTA in the industrial CSTR. Based on the sample data collected from OXTA in the industrial CSTR, heuristic differential evolution algorithm is employed to adjust the weights and thresholds of the rate constant ANN in such a way that it minimizes the prediction error of the macrokinetic model, and thus the optimal weights and thresholds are obtained and the macrokinetic model of OXTA in the industrial CSTR is developed. The reliability of the macrokinetic model was investigated and the satisfactory results were obtained. Further, a generalized macrokinetic approach for multi-phase reaction in industrial reactor was suggested too. (c) 2007 Elsevier Ltd. All rights reserved.

关键词： macrokinetic model data mining oxidation p-xylene artificial neural network differential evolution algorithm

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evolutionary filter for mobile robot global localization

Evolutionary filter for mobile robot global localization

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IEEE International Symposium on Intelligent Signal Processing

作者： Moreno, Luis Munoz, M. Luisa Garrido, Santiago Martin, Fernando Univ Carlos III Madrid Robot Lab Madrid Spain Univ Politecn Madrid Fac Informat Madrid Spain

ISBN: (纸本)9781424408290

Mobile robot global localization aims to determine the robot's pose in a known environment in absence of initial robot's pose information. This article presents an evolutive localization algorithm known as Evolutive Localization Filter(ELF). Based on evolutionary computation concepts, the proposed algorithm search stochastically along the state space the best robot's pose estimate. The set of pose solutions (the population) represents the most likely areas according Me perception and motion information received. The population evolves by using the observation and motion errors derived from the comparison between observed and predicted data obtained from the probabilistic perception and motion model. The resulting global localization module has been tested in a mobile robot equipped with a laser range finder. Experiments demonstrate the effectiveness, robustness and computational efficiency of the proposed approach.

关键词： non linear filter global localization mobile robots differential evolution algorithm

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E-SLAM solution to the grid-based localization and mapping problem

E-SLAM solution to the grid-based localization and mapping p...

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IEEE International Symposium on Intelligent Signal Processing

作者： Moreno, Luis Munoz, M. Luisa Garrido, Santiago Martin, Fernando Univ Carlos III Madrid Robot Lab Madrid Spain Univ Politecn Madrid Fac Informat Madrid Spain

ISBN: (纸本)9781424408290

A new solution to the Simultaneous Localization and Modelling problem is presented. It is based on the stochastic search of solutions in the state space to the global localization problem by means of a differential evolution algorithm. A non linear evolutive filter, called Evolutive Localization Filter (ELF), searches stochastically along the state space for the best robot pose estimate. The proposed SLAM algorithm operates in two steps: in the first step the ELF filter is used at a local level to re-localize the robot based on the robot odometry, the laser scan at a given position and a local map where only a low number of the last scans have been integrated. In a second step the aligned laser measures together with (he corrected robot poses are use to detect when the robot is revisiting a previously crossed area. Once a cycle is detected, the Evolutive Localization Filter is used again to re-estimate the robot poses in order to integrate the sensor measures in the global map of the environment. The algorithm has been tested in different environments to demonstrate the effectiveness, robustness and computational efficiency of the proposed approach.

关键词： SLAM local positioning systems mobile robots differential evolution algorithm

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Urban power network substation optimal planning based on Geographic Culture algorithm

Urban power network substation optimal planning based on Geo...

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IPEC 2007 Meeting

作者： Liu, Jun Gao, Haibo Zhang, Jianghua Dai, Bo North China Elect Power Univ Baoding Peoples R China

ISBN: (纸本)9789810594237

A novel intelligent algorithm, refined Geographic Culture algorithm (GCA), is presented to handle optimal urban power planning about substation locating and sizing. Culture algorithm consists of population space and belief space. The cultural algorithm is different with other integer optimization algorithm, since it is systematic, guidance, population space and belief space promote mutually by communication. GCA adopts the differential evolution algorithm (DE) as population space and proposes four kinds of strategies to constitute the belief space according to the urban power network characteristic. GCA is tested by a realistic planning project and compared with particle swarm optimization (PSO) to verify the effectiveness and feasibility.

关键词： urban power network planning of substation locating and sizing differential evolution algorithm Culture algorithm GIS

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Urban Power Network Substation Optimal Planning Based on Geographic Culture algorithm

Urban Power Network Substation Optimal Planning Based on Geo...

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2007 International Power Engineering Conference (IPEC2007), vol.2

作者： Jun LIU Haibo GAO Jianghua ZHANG Bo Dai North China Electric Power University China

关键词： Urban power network Planning of substation locating and sizing differential evolution algorithm Culture algorithm GIS

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Parameter selection based on surface finish in high-speed end-milling using differential evolution

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MATERIALS AND MANUFACTURING PROCESSES 2006年第4期21卷 341-347页

作者： Saikumar, S. Shunmugam, M. S. Indian Inst Technol Dept Mech Engn Mfg Engn Sect Madras 600036 Tamil Nadu India

Selection of cutting parameters in high-speed machining is one of the most important tasks to achieve the required level of quality. evolutionary algorithms are often used to obtain the optimal parameters corresponding to a single value of surface finish. In most practical applications, it is necessary to determine the cutting speed, feed, and depth of cut to meet the required surface finish. In the present work, high-speed end-milling has been studied, and an objective function for surface finish is obtained by Response Surface Methodology using results of carefully designed experiments. Testing of differential evolution and genetic algorithms using the classical Himmelblau function reveals that the performance of differential evolution is better. Therefore, differential evolution is used in the present work with a newly proposed objective function, and the machining parameters for the required surface finish are obtained.

关键词： differential evolution algorithm end-milling genetic algorithm high-speed machining response surface methodology surface finish

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Fault tolerant differential evolution based optimal reactive power flow

Fault tolerant differential evolution based optimal reactive...

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5th International Conference on Machine Learning and Cybernetics

作者： Su, Sheng Chung, C. Y. Wong, K. P. Fung, Y. F. Yeung, D. S. Hong Kong Polytech Univ Dept Elect Engn CIARLab Kowloon Hong Kong Peoples R China Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China Huazhong Univ Sci & Technol Dept Elect Engn Wuhan Peoples R China

ISBN: (纸本)1424400600

differential evolution (DE) is a new branch of evolutionary algorithms (EAs) and has been successfully applied to solve the optimal reactive power now (ORPF) problems in power systems. Although DE can avoid premature convergence, large population is needed and the application of DE is limited in large-scale power systems. Grid computing, as a prevalent paradigm for resource-intensive scientific application, is expected to provide a computing platform with tremendous computational power to speed up the optimization process of DE. When implanting DE based ORPF on grid system, fault tolerance due to unstable environment and variation of grid is a significant issue to be considered. In this paper, a fault tolerant DE-based ORPF method is proposed. In this method, when the individuals are distributed to the grid for fitness evaluation, a proportion of individuals, which returns from the grid slowly or fails to return, are replaced with new individuals generated randomly according to some specific rules. This approach can deal with the fault tolerance and also maintain diversity of the population of DE. The superior performance of the proposed approach is verified by numerical simulations on the ORPF problem of the IEEE 118-bus standard power system.

关键词： differential evolution algorithm grid computing fault tolerance premature convergence

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