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PATTERN SYNTHESIS OF CONCENTRIC RING ARRAY ANTENNAS BY differential evolution ALGORITHM

JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2011年第2-3期25卷 421-430页

作者： Li, F. Jiao, Y. -C. Ren, L. -S. Chen, Y. -Y. Zhang, L. Xidian Univ Natl Lab Antennas & Microwave Technol Xian 710071 Shaanxi Peoples R China

In this paper, we propose a computational global optimization method based on differential evolution (DE) algorithm for synthesizing large multiple concentric rings arrays to generate a pencil beam with minimum peak side lobe level (PSLL) and constrained first null beam width (FNBW). The synthesis is performed with a differential evolution technique to optimize the ring spacing, the number of the elements in each ring as well as the amplitude distribution. Simulated results of the designed synthesis illustrate the efficiency and reliability of our proposed method.

关键词： pencil beam pattern synthesis Antenna arrays Concentric evolutionary algorithm amplitude distribution differential evolution algorithms

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differential evolution Algorithm for Multi-objective Economic Load Dispatch Considering Minimum Emission Costs

Differential Evolution Algorithm for Multi-objective Economi...

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IEEE Power and Energy Society General Meeting

作者： Fang Yao Ke Meng Zhao Xu Zhao Yang Dong Herbert Iu Jun Hua Zhao Kit Po Wong School of Electrical Electronics and Computer Engineering The University of Western Australia Department of Electrical Engineering The Hong Kong Polytechnic University School of Electrical Engineering Zhejiang University

ISBN: (纸本)9781457710001

This paper describes a multi-objective economic load dispatch (ELD) model to minimize the emission cost due to CO_2 and N_2O. The power system operation costs are minimized under transmission network constraints in ELD. This model will be transformed from single objective economic problem to multi-objective problem to combine both economic and emission dispatch. The model is implemented by differential evolution (DE) and a set of numerical experiments for a standard test system is reported.

关键词： Economic load dispatch Different evolution Emission control Optimization load dispatching Emissions controls differential evolution algorithms emission Emissions evolutionary algorithm Test systems

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Stochastic Optimal Dispatch of Power System Under Extreme Weather Disaster

Stochastic Optimal Dispatch of Power System Under Extreme We...

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International Conference on Engineering Design and Optimization (ICEDO 2010)

作者： Zhang, Yongxi Yang, Hongming Dong, Zhaoyang Lai, Mingyong Changsha Univ Sci & Technol Changsha 410114 Hunan Peoples R China Hong Kong Polytech Univ Hong Kong Peoples R China Hunan Univ Changsha 410079 Peoples R China

ISBN: (纸本)9780878492220

Several large scale failures of power system took place due to extreme weather disaster recent years, which aroused the consideration of power network security operation. Considering that the line failure events caused by natural disaster presented random characteristic, using Poisson distribution theory to depict the probability of line failure, a stochastic power system optimal dispatch model based on chance constraints theory was also proposed. We adopted the differential evolution algorithm to calculate the total loss based on Monte-Carlo simulation. The results of IEEE 9-bus case study imply that the dispatch model will give full consideration of weather effects, and provide a more reasonable dispatch plan for power system disaster prevention and reduction.

关键词： differential evolution algorithms Extreme weather disaster Stochastic optimal dispatch

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A COMPACT BAND-NOTCHED UWB ANTENNA OPTIMIZED BY A NOVEL SELF-ADAPTIVE differential evolution ALGORITHM

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2010年第17-18期24卷 2353-2361页

作者： Xie, L. Jiao, Y. -C. Wei, Y. -Q. Zhao, G. Xidian Univ Natl Lab Antennas & Microwave Technol Xian 710071 Shaanxi Peoples R China

In this paper, a compact ultra-wideband (UWB) antenna with a WLAN band-notched characteristic is presented. The design technique is based on a novel self-adaptive differential evolution (DE) algorithm namely ISADE (improved self-adaptive differential evolution algorithm). In order to evaluate the algorithm's performance, we tested it on nine most commonly used benchmark functions. Experimental results have shown that the proposed algorithm outperforms the classical DE and at least is comparable to some other adaptive DE algorithms. The optimized UWB antenna has a compact size of 14mm x 30mm and is fabricated and measured. Measured results have shown that the antenna has approximately omnidirectional radiation patterns with a good band-notched performance in the WLAN band. Therefore, the results indicate the advantages of this approach and the applicability of the proposed algorithm to other optimization problems in electromagnetics.

关键词： Radiation patterns wireless local area network (WLAN) Compact design techniques self-adaptive Ultra wideband antennas Electromagnetism differential evolution algorithms evolutionary algorithm Electromagnetic fields

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A Novel Online Test-sheet Composition Approach for Web-based Testing

A Novel Online Test-sheet Composition Approach for Web-based...

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IEEE International Symposium on IT in Medicine and Education

作者： Wang Feng-rui Wang Wen-hong Pan Quan-ke Zuo Feng-chao Liang, J. J. Liaocheng Univ Sch Media & Commun Technol Liaocheng 252059 Peoples R China Liaocheng Univ Sch Comp Sci Liaocheng 252059 Peoples R China Zhengzhou Univ Sch Elect Engn Zhengzhou 450001 Peoples R China

ISBN: (纸本)9781424439294

In e-learning environment, web-based testing system can help to evaluate learners learning status precisely. To meet the needs of multiple assessment criteria, a new test-sheet construction model was proposed Based on the proposed model, a differential evolution algorithm with effective coding strategy was designed to generate high quality test-sheets for web-based testing. In simulation experiments, the proposed algorithm was applied to a series of item banks with different scales. Superiority of the proposed algorithm is demonstrated by comparing it with the simple genetic algorithm and differential evolution algorithm with binary coding strategy.

关键词： differential evolution algorithms evolutionary algorithm Genetic Algorithm (GA) encoding strategy quality review binary code scan-based testing Test systems simulation test series (mathematics)

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Research on adaptive niche differential evolution algorithm for reactive power optimization

Research on adaptive niche differential evolution algorithm ...

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8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009)

作者： Shu Xia Zifa Liu Jianhua Zhang Qi Yang School of Electrical and Electronic Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781617820564

Reactive power optimization which is the foundation for optimal control of voltage and reactive power is a very complex non-linear mixed integer programming problem. To deal with this optimization problem, an Adaptive Niche differential evolution algorithm (ANDE) is presented to avoid the premature phenomenon in DE. To maintain the population diversity, niche-sharing mechanism is adopted. To improve the rate of convergence, penalty function is used by niche-eliminating mechanism to deal with some low fitness individuals. To improve searching capability of algorithm, niching radius can also be adjusted adaptively on the basis of the relative distance between individuals which reflect the aggregation of population. Using the above method, the global searching ability of this algorithm could be improved. The proposed algorithm has been tested on IEEE-6, IEEE-30 and IEEE-118 bus systems and the calculation proves the effectiveness and practicability of the above algorithm.

关键词： Reactive power differential evolution algorithms niches algorithms evolutionary algorithm Optimal control Self tuning

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Multi-Objective Optimization with Modified Pareto differential evolution

Multi-Objective Optimization with Modified Pareto Differenti...

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International Conference on Intelligent Computation Technology and Automation

作者： Chen Xiao-qing Hou Zhong-xi Liu Jian-Xia NUDT Coll Aerosp & Mat Engn Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9780769533575

In this paper, a modified Pareto differential evolution algorithm approach is introduced to solve multi-objective optimization problems. The modified approach including: improving the crowding mechanism by introducing the Niche theory, introducing a time variant scaling factor F, and using a simple but efficient mutation operator which combines information of the both better and worse solution in the population. The performance of the MDE is measured on the set of ZDT benchmark functions on multi-objective optimization.

关键词： crowding mechanism time varying multi-objective control Pareto optimisation Modified F Factor differential evolution algorithms Scale factor evolution evolution evolution evolution

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Freeform deformation versus B-spline representation in inverse airfoil design

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JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING 2008年第2期8卷 024001-1-024001-1页

作者： Amoiralis, Eleftherios I. Nikolos, Ioannis K. Tech Univ Crete Dept Prod Engn & Management GR-73100 Khania Greece

Freeform deformation (FFD) is a well established technique for 3D animation applications, used to deform two-or three-dimensional geometrical entities. Over the past few years, FFD technique has aroused growing interest in several scientific communities. In this work, an extensive bibliographic survey of the FFD technique is initially introduced, in order to explore its capabilities in shape parametrization. Moreover FFD technique is compared to the classical parametrization technique using B-splihe curves, in the context of the airfoil design, optimization problem, by performing inverse airfoil design tests, with a differential evolution algorithm to serve as the optimizer The criterion of the comparison between the two techniques is the achieved accuracy in the approximation of the reference pressure distribution. Experiments are presented, comparing FFD to B-spline techniques under the same flow conditions, for various numbers of design variables. Sensitivity analysis is applied for providing further insight into the differences in the performance of the two techniques.

关键词： Inverse reference pressure splines (mathematics) three-dimensional animation scientific community differential evolution algorithms parameterization

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Non-smooth/non-convex economic dispatch by a novel hybrid differential evolution algorithm

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IET GENERATION TRANSMISSION & DISTRIBUTION 2007年第5期1卷 793-803页

作者： Wang, S.-K. Chiou, J.-P. Liu, C.-W. Natl Taiwan Univ Dept Elect Engn Taipei 106 Taiwan

This paper presents a novel stochastic optimisation approach to determining the feasible optimal solution of the economic dispatch (ED) problem considering various generator constraints. Many practical constraints of generators, such as ramp rate limits, prohibited operating zones and the valve point effect, are considered. These constraints make the ED problem a non-smooth/non-convex minimisation problem with constraints. The proposed optimisation algorithm is called self-tuning hybrid differential evolution (self-tuning HDE). The self-tuning HDE utilises the concept of the 115 success rule of evolution strategies (ESs) in the original HDE to accelerate the search for the global optimum. Three test power systems, including 3-, 13- and 40-unit power systems, are applied to compare the performance of the proposed algorithm with genetic algorithms, the differential evolution algorithm and the HDE algorithm. Numerical results indicate that the entire performance of the proposed self-tuning HDE algorithm outperforms the other three algorithms.

关键词： Optimization algorithms HDE Dispatching differential evolution algorithms valve effect evolutionary algorithm

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differential evolution with adaptive parameter setting for multi-objective optimization

Differential evolution with adaptive parameter setting for m...

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IEEE Congress on evolutionary Computation

作者： Zielinski, Karin Laur, Rainer Univ Bremen ITEM D-2800 Bremen 33 Germany

ISBN: (纸本)9781424413393

Control parameter settings influence the convergence probability and convergence speed of evolutionary algorithms but it is often not obvious how to choose them. In this work an adaptive approach for setting the control parameters of a multi-objective differential evolution algorithm is presented. The adaptive approach is based on methods from Design of Experiments, so it is able to detect significant performance differences of individual parameters as well as interaction effects between parameters. It is evaluated based on 13 test functions and several performance measures.

关键词： parameter setting control parameter evolutionary algorithm Self tuning interaction effect Converge differential evolution algorithms

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