检索结果-内蒙古大学图书馆

International Conference on Electrical Information and Mechatronics (ICEIM)

作者： Ran, Lili Chen, Weirong Dai, Chaohua SW Jiaotong Univ Sch Elect Engn Chengdu 610031 Sichuang Provin Peoples R China

ISBN: (纸本)9783037853115

Sparse representation of signals has many important applications in signal processing. However, this issue is well known as a complex and NP problem, which is a key factor to depress the application and progress of sparse decomposition. In this work, seeker optimization algorithm(SOA)-based method is used to search for the best matching atoms in sparse decomposition. For comparision, the conventional matching pursuit (MP) method and two versions of PSO algorithms are also considered in the simulation studies. The simulation results show that the proposed approach is an effective and reliable technique for time-frequency atom decomposition.

关键词： signal processing sparse decomposition matching pursuit (MP) seeker optimization algorithm time-frequency atom decomposition

来源：评论

学校读者我要写书评

暂无评论

The Autonomous Path Planning algorithm for the USV Under Complex Battlefield Situations

The Autonomous Path Planning Algorithm for the USV Under Com...

引用

第40届中国控制会议

作者： Xiao Chen Wei Liu Song Shuang Academy of Military Science

The autonomous path planning problem of the USV in the complex battlefield situation environment is studied,an autonomous path planning algorithm for the USV based on polar coordinate modeling and crowd search algorithm is ***,the basic principles of the crowd search algorithm are studied,and the self-interest behavior,altruistic behavior,pre-action behavior and uncertainty reasoning behavior of the crowd search algorithm are analyzed in *** the search step,search direction and individual position of the crowd search algorithm update the rules and algorithm ***,the algorithm in this paper,the traditional differential evolution algorithm,and the artificial bee colony optimization algorithm are used for typical function optimization *** experiments show that the algorithm proposed in this paper is significantly better than other ***,based on polar coordinate modeling,the USV path code is placed in two-dimensional polar coordinates,and then the distance relationship between the current path point,the next path point and the obstacle point of the USV are used to determine whether to plan the *** obstacles are encountered,the shortest and absolutely safe navigation route is obtained by calling the crowd search algorithm for path *** experiments verify the effectiveness of the algorithm proposed in this paper.

关键词： the situational awareness seeker optimization algorithm the polar coordinate modeling USV path planning

来源：评论

学校读者我要写书评

暂无评论

seeker optimized SVC-PID controller for reactive power control of an isolated hybrid power system

引用

ENERGY SYSTEMS-optimization MODELING SIMULATION AND ECONOMIC ASPECTS 2019年第4期10卷 985-1015页

作者： Banerjee, Abhik Guchhait, Pabitra Kumar Mukherjee, Vivekananda Ghoshal, S. P. Natl Inst Technol Dept Elect Engn Yupia 791110 Arunachal Prade India Indian Sch Mines Indian Inst Technol Dept Elect Engn Dhanbad Jharkhand India Natl Inst Technol Dept Elect Engn Durgapur W Bengal India

The modeling and controlling approach of a stand-alone wind-diesel hybrid model has been focused in this paper while adopting coordinated tuning of static VAR compensator (SVC)-PID controller and power system stabilizer (PSS) for controlling the reactive power. seeker optimization algorithm (SOA) has been used for tuning the parameters of the SVC-PID and PSS. To find out the optimal parameters of the studied model, the SOA has been implemented successfully. The synchronous generator (SG) is equipped with IEEE type-I excitation system along with dual input PSS like IEEE-PSS3B in the studied hybrid model. On-line performance analysis of the studied hybrid model is achieved by using Takagi-Sugeno fuzzy logic (TSFL) based controller. In real-time, the TSFL helps to track the accuracy of reactive power compensation for any sort of input disturbance. It is found that the proposed SOA-TSFL is more effective to get the nominal optimal parameters of SVC-PID and PSS for on-line optimal reactive power control and terminal voltage response of the investigated power system model. It has also been investigated that the performance of the proposed controller is effectively influenced by the transmission delay signal.

关键词： Induction generator Power system stabilizer seeker optimization algorithm Static VAR compensator Time delay Wind-diesel hybrid model

来源：评论

学校读者我要写书评

暂无评论

seeker optimization algorithm for global optimization: A case study on optimal modelling of proton exchange membrane fuel cell (PEMFC)

引用

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2011年第3期33卷 369-376页

作者： Dai, Chaohua Chen, Weirong Cheng, Zhanli Li, Qi Jiang, Zhiling Jia, Junbo SW Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China Temasek Polytech Sch Engn Singapore 529757 Singapore

In order to optimize the proton exchange membrane fuel cell (PEMFC) model parameters, a novel approach based on seeker optimization algorithm (SOA) is proposed. The SOA is based on the concept of simulating human searching behaviors, where the choice of search direction is based on the empirical gradient by evaluating the response to the position changes and the decision of step length is based on uncertainty reasoning by using a simple Fuzzy rule. In this study, after evaluated on benchmark function optimization, the SOA is applied to optimal modelling of the PEMFC by using a fuel cell test system in Fuel Cell Application Centre (FAC) at the Temasek Polytechnic, and compared with several state-of-the-art versions of differential evolution (DE) and particle swarm optimization (PS()) algorithms. The simulation results show that the proposed approach is superior to other compared algorithms, and the PEMFC model with optimized parameters by SOA fitted experimental data well. Hence, S()A is an effective and reliable technique for optimizing the parameters of PEMFC model, and can be helpful for system analysis, optimization design and real-time control of the PEMFCs. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Global optimization Human searching behaviors Optimal modelling Proton exchange membrane fuel cell seeker optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

seeker optimization algorithm for tuning the structure and parameters of neural networks

引用

NEUROCOMPUTING 2011年第6期74卷 876-883页

作者： Dai, Chaohua Chen, Weirong Zhu, Yunfang Jiang, Zhiling You, Zhiyu SW Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China SW Jiaotong Univ Dept Comp & Commun Engn E Mei 614202 Peoples R China

seeker optimization algorithm (SOA) is a novel population-based heuristic stochastic search algorithm, which is based on the concept of simulating the act of human searching. In the SOA, the search direction is determined by seeker's egotistic behavior, altruistic behavior and pro-activeness behavior, while step length is given by uncertainty reasoning behavior. In this paper, the application of the SOA to tuning the structures and parameters of artificial neural networks (ANNs) is presented as a new evolutionary method of ANN training. Simulation experiments for pattern classification and function approximation are performed. The comparisons of the SOA between BP algorithms and other evolutionary algorithms (EAs) are studied. The simulation results show that the performance of the SOA is better than or, at least, equivalent to that of other EAs (i.e., DE and two variations of PSO) for all the listed problems. Moreover, the ANNs with link switches trained by the SOA can provide better or comparable learning capabilities with much less number of links than ones by BP algorithms (i.e., GDX, RP, OSS and SCG). Hence, SOA can simultaneously tune the structures and the weight values, and, though SOA is more computationally intensive, it is believed that SOA will become a promising candidate for training ANNs. (C) 2010 Elsevier B.V. All rights reserved.

关键词： Evolutionary artificial neural network Human searching behaviors Global optimization seeker optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

seeker optimization algorithm for Interference Suppression of Linear Antenna Arrays by Controlling Position-Only, Phase-Only, and Amplitude-Only

引用

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING 2011年第5期21卷 505-518页

作者： Guney, K. Basbug, S. Nuh Naci Yazgan Univ Fac Engn Dept Elect & Elect Engn TR-38040 Kayseri Turkey Nevsehir Univ Vocat Coll Dept Ind Elect TR-50300 Nevsehir Turkey

In this article, a stochastic search technique based on seeker optimization algorithm (SOA) is proposed for null steering of linear antenna arrays by controlling the position-only, phase-only, and amplitude-only. The SOA is relatively new optimization algorithm based on the concept of simulating the act of humans' intelligent search with their memory, experience, and uncertainty reasoning. Several numerical examples of Chebyshev pattern with the single, multiple, and broad nulls imposed at the directions of interference are given to illustrate the performance and flexibility of the proposed algorithm. For a comparison, the nulling patterns obtained by simulated annealing (SA) and tabu search (TS) algorithms are also given. Furthermore, the results of SOA are statistically compared with those of SA and TS algorithms. The statistical results of simulations show that SOA is superior to the other compared algorithms. (C) 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE 21:505-518, 2011.

关键词： antenna array synthesis pattern nulling seeker optimization algorithm phase-only control position-only control amplitude-only control

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “Solution of economic dispatch problems by seeker optimization algorithm” by Binod Shaw et al. “Expert Systems with Applications”, 39 January (2012) 508–519

引用

Expert Systems with Applications 2012年第18期39卷 13550-13551页

作者： A. Srinivasa Reddy K. Vaisakh A. Vaccaro Department of Electrical and Electronics Engineering Sir C. R. Reddy College of Engineering Eluru 534007 Andhra Pradesh India Department of Electrical Engineering AU College of Engineering Andhra University Visakhapatnam 530003 Andhra Pradesh India Department of Engineering University of Sannio Piazza Roma 21 82100 Benevento Italy

This paper presents a discussion of “Solution of economic dispatch problems by seeker optimization algorithm” by Binod Shaw et al. “Expert Systems with Applications”, 39 January (2012) 508–519. The discussed paper presented economic dispatch problem by experimenting with four example systems considering 20, 38, 40 and 10-unit test systems considering convex and nonconvex cost functions with and without transmission loss. However in the reported results, the total cost calculations are different for the given generation schedule. In this discussion, clarification regarding cost calculations is presented.

关键词： Multiple fuel options seeker optimization algorithm Transmission loss Valve point loading

来源：评论

学校读者我要写书评

暂无评论

Heuristic optimization based choice of LQR weighting matrices for a rotary inverted pendulum

Heuristic optimization based choice of LQR weighting matrice...

引用

IEEE International Conference on Recent Trends in Electrical, Control and Communication (RTECC)

作者： Nath, Krishanu Dewan, Lillie NIT Kurukshetra Dept Elect Engn Kurukshetra Haryana India

ISBN: (纸本)9781538643105

The choice of weighting matrices of the linear quadratic regulator (LQR) is one such decision which has a great effect on the dynamics of the system. There exists a nonlinear relationship between the dynamics of plant and their numerical values. Problems where such nonlinear relation exists, heuristic have served very useful to extract a better solution. In this paper, an attempt is made for the optimal choice of LQR weighting matrices using heuristic optimization techniques for a rotary inverted pendulum such that the settling time of the system is minimized.

关键词： Linear quadratic regulator Teaching learning-based optimization seeker optimization algorithm Gravitational search algorithm

来源：评论

学校读者我要写书评

暂无评论

seeker optimization algorithm for Optimal Reactive Power Dispatch

引用

IEEE TRANSACTIONS ON POWER SYSTEMS 2009年第3期24卷 1218-1231页

作者： Dai, Chaohua Chen, Weirong Zhu, Yunfang Zhang, Xuexia SW Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China SW Jiaotong Univ Dept Comp & Commun Engn Emei 614202 Peoples R China

Optimal reactive power dispatch problem in power systems has thrown a growing influence on secure and economical operation of power systems. However, this issue is well known as a nonlinear, multimodal and mixed-variable problem. In the last decades, computation intelligence-based techniques, such as genetic algorithms (GAs), differential evolution (DE) algorithms and particle swarm optimization (PSO) algorithms, etc., have often been used for this aim. In this work, a seeker optimization algorithm (SOA)-based reactive power dispatch method is proposed. The SOA is based on the concept of simulating the act of human searching, where the search direction is based on the empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple Fuzzy rule. In this study, the algorithm's performance is evaluated on benchmark function optimization. Then, the SOA is applied to optimal reactive power dispatch on standard IEEE 57- and 118-bus power systems, and compared with conventional nonlinear programming method, two versions of GAs, three versions of DE algorithms and four versions of PSO algorithms. The simulation results show that the proposed approach is superior to the other listed algorithms and can be efficiently used for optimal reactive power dispatch.

关键词： Global optimization heuristics power system reactive power dispatch seeker optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Reactive power dispatch considering voltage stability with seeker optimization algorithm

引用

ELECTRIC POWER SYSTEMS RESEARCH 2009年第10期79卷 1462-1471页

作者： Dai, Chaohua Chen, Weirong Zhu, Yunfang Zhang, Xuexia SW Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China SW Jiaotong Univ Dept Comp & Commun Engn Emei 614202 Peoples R China

Optimal reactive power dispatch (ORPD) has a growing impact on secure and economical operation of power systems. This issue is well known as a non-linear, multi-modal and multi-objective optimization problem where global optimization techniques are required in order to avoid local minima. In the last decades, computation intelligence-based techniques such as genetic algorithms (GAs), differential evolution (DE) algorithms and particle swarm optimization (PSO) algorithms, etc., have often been used for this aim. In this work, a seeker optimization algorithm (SOA) based method is proposed for ORPD considering static voltage stability and voltage deviation. The SOA is based on the concept of simulating the act of human searching where search direction is based on the empirical gradient by evaluating the response to the position changes and step length is based on uncertainty reasoning by using a simple Fuzzy rule. The algorithm's performance is studied with comparisons of two versions of GAs, three versions of DE algorithms and four versions of PSO algorithms on the IEEE 57 and 118-bus power systems. The simulation results show that the proposed approach performed better than the other listed algorithms and can be efficiently used for the ORPD problem. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Global optimization Heuristics Power system Reactive power dispatch seeker optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：