检索结果-内蒙古大学图书馆

15th IEEE Mediterranean Electrotechnical Conference (MELECON 2010)

作者： Mahdad, Belkacem Srairi, K. Bouktir, T. Department of Electrical Engineering University of Biskra Algeria

ISBN: (纸本)9781424457953

This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decomposed network for economic power dispatch with consideration of practical generator constraints. The range of partial power demand corresponding to the partial output powers near the global optimal solution is determined by a flexible decomposed network strategy and then the final optimal solution is obtained by parallel particle swarm optimization. To validate the robustness of the proposed IPPSO approach, it is tested to two test systems having nonconvex solution spaces, 26-bus (6 generating units) with consideration of valve point effects, network and with 15 generating units. The simulation results compared with recent global optimization methods (GA, MTS, SA, PSO and ICA-PSO). The outcome of the comparisons shows the effectiveness of the proposed IPPSO approach in terms of solution quality, consistency and reduced computational time compared to various methods available in the literature survey.

关键词： parallel genetic algorithm Decomposed Network PSO economic dispatch Optimal power flow System security Planning and control

来源：评论

学校读者我要写书评

暂无评论

OPF with Environmental Constraints with Multi Shunt Dynamic Controllers using Decomposed parallel GA: Application to the Algerian Network

引用

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2009年第1期4卷 55-65页

作者： Mahdad, B. Bouktir, T. Srairi, K. Department of Electrical Engineering University of Biskra Department of Electrical Engineering Oum Elbouaghi University

Due to the rapid increase of electricity demand, consideration of environmental constraints in optimal power flow (OPF) problems is increasingly important. In Algeria, up to 90% of electricity is produced by thermal generators (vapor, gas). In order to keep the emission of gaseous pollutants like sulfur dioxide (SO2) and Nitrogen (NO2) under the admissible ecological limits, many conventional and global optimization methods have been proposed to study the trade-off relation between fuel cost and emissions. This paper presents an efficient decomposed parallel GA to solve the multi-objective environmental/economic dispatch problem. At the decomposed stage the length of the original chromosome is reduced successively and adapted to the topology of the new partition. Two subproblems are proposed: the first subproblem is related to the active power planning to minimize the total fuel cost, and the second subproblem is a reactive power planning design based in practical rules to make fine corrections to the voltage deviation and reactive power violation using a specified number of shunt dynamic compensators named Static Var Compensators (SVC). To validate the robustness of the proposed approach, the algorithm proposed was tested oil the Algerian 59-bus network test and compared with conventional methods and with global optimization methods (GA, FGA, and ACO). The results show that the approach proposed can converge to the near Solution and obtain a competitive solution at a critical situation and within a reasonable time.

关键词： Environmental economic dispatch Dynamic control parallel genetic algorithm multi-objective System loadability FACTS SVC Optimal power flow System security Planning and control

来源：评论

学校读者我要写书评

暂无评论

Improved parallel PSO Solution to Economic Dispatch with Practical Generator Constraints

Improved Parallel PSO Solution to Economic Dispatch with Pra...

引用

IEEE Mediterranean Electrotechnical Conference

作者： Belkacem Mahdad K. Srairi T. Bouktir Department of Electrical Engineering University of Biskra

ISBN: (纸本)9781424457939

关键词： parallel genetic algorithm Decomposed Network PSO Economic dispatch Optimal power flow System security Planning and control

来源：评论

学校读者我要写书评

暂无评论

Optimal Power Flow with Discontinous Fuel Cost Functions Using Decomposed GA Coordinated with Shunt FACTS

引用

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2009年第4期4卷 457-466页

作者： Mahdad, Belkacem Srairi, K. Bouktir, T. Benbouzid, M. El Biskra Univ Dept Elect Engn Biskra Algeria Univ Brest Lab Brestois Mecan & Syst Brest France

This paper presents efficient parallel genetic algorithm (EPGA) based decomposed network for optimal power flow with various kinds of objective functions such as those including prohibited zones, multiple fuels, and Multiple areas. Two coordinated sub problems are proposed the first sub problem is an active power dispatch (APD) based parallel GA, a global database, generated containing the best partitioned network the second subproblem is an optimal setting of control variables such as generators voltages, tap position of tap changing transformers, and the dynamic reactive power of SVC Controllers installed at a critical buses. The proposed approach tested on IEEE 6-bus, IEEE 30-bus and to 15 generating units and compared with global optimization methods (GA, DE, FGA, PSO, MDE, ICA-PSO). The results show that the proposed approach call converge to the near solution and obtain a competitive solution with a reasonable time.

关键词： parallel genetic algorithm Decomposed Network System loadability FACTS SVC Optimal power flow Planning and control

来源：评论

学校读者我要写书评

暂无评论

Improvement of remote monitoring on water quality in a subtropical reservoir by incorporating grammatical evolution with parallel genetic algorithms into satellite imagery

引用

WATER RESEARCH 2008年第1-2期42卷 296-306页

作者： Chen, Li Tan, Chih-Hung Kao, Shuh-Ji Wang, Tai-Sheng Chung Hua Univ Dept Civil Engn & Engn Informat Hsinchu 30067 Taiwan Agr Engn Res Ctr Informat Div Tao Yuan 32061 Taiwan Acad Sinica Res Ctr Environm Change Taipei 11529 Taiwan

parallel GEGA was constructed by incorporating grammatical evolution (GE) into the parallel genetic algorithm (GA) to improve reservoir water quality monitoring based on remote sensing images. A cruise was conducted to ground-truth chlorophyll-a (Chl-a) concentration longitudinally along the Feitsui Reservoir, the primary water supply for Taipei City in Taiwan. Empirical functions with multiple spectral parameters from the Landsat 7 Enhanced Thematic Mapper (ETM+) data were constructed. The GE, an evolutionary automatic programming type system, automatically discovers complex nonlinear mathematical relationships among observed Chl-a concentrations and remote-sensed imageries. A GA was used afterward with GE to optimize the appropriate function type. Various parallel subpopulations were processed to enhance search efficiency during the optimization procedure with GA. Compared with a traditional linear multiple regression (LMR), the performance of parallel GEGA was found to be better than that of the traditional LMR model with lower estimating errors. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： grammatical evolution parallel genetic algorithm water quality monitoring chlorophyll-a remote-sensed imagery

来源：评论

学校读者我要写书评

暂无评论

Adaptive Cellular Memetic algorithms

引用

EVOLUTIONARY COMPUTATION 2009年第2期17卷 231-256页

作者： Huy, Nguyen Quang Soon, Ong Yew Hiot, Lim Meng Krasnogor, Natalio Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Univ Nottingham Sch Comp Sci Nottingham NG8 1BB England

A cellular genetic algorithm (CGA) is a decentralized form of GA where individuals ill a population are Usually arranged in a 2D grid and interactions among individuals are restricted to a set neighborhood. In this paper, we extend the notion of cellularity to memetic algorithms (MA), a configuration termed cellular memetic algorithm (CMA). In addition, we propose adaptive mechanisms that tailor the amount of exploration versus exploitation of local solutions carried out by the CMA. We systematically benchmark this adaptive mechanism and provide evidence that the resulting adaptive CMA outperforms other methods both in the quality of solutions obtained and the number of function evaluations for a range of continuous optimization problems.

关键词： Memetic algorithm parallel genetic algorithm cellular genetic algorithm cellular memetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Chaotic migration-based pseudo parallel genetic algorithm and its application in inventory optimization

引用

Journal of Systems Engineering and Electronics 2005年第2期16卷 411-417页

作者： ChenXiaofang GuiWeihua WangYalin SchoolofInformationScience&Engineering CentralSouthUniversityChangsha410083P.R.China

Considering premature convergence in the searching process of genetic algorithm, a chaotic migration-based pseudo parallel genetic algorithm (CMPPGA) is proposed, which applies the idea of isolated evolution and information exchanging in distributed parallel genetic algorithm by serial program structure to solve optimization problem of low real-time demand. In this algorithm, asynchronic migration of individuals during parallel evolution is guided by a chaotic migration sequence. Information exchanging among sub-populations is ensured to be efficient and sufficient due to that the sequence is ergodic and stochastic. Simulation study of CMPPGA shows its strong global search ability, superiority to standard genetic algorithm and high immunity against premature convergence. According to the practice of raw material supply, an inventory programming model is set up and solved by CMPPGA with satisfactory results returned.

关键词： parallel genetic algorithm chaos premature convergence inventory optimization.

来源：评论

学校读者我要写书评

暂无评论

Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing

引用

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE 2005年第15期45卷 1726-1734页

作者： Wang, ZG Rahman, M Wong, YS Sun, J Natl Univ Singapore Dept Mech Engn Singapore 119260 Singapore

This paper presents an approach to select the optimal machining parameters for multi-pass milling. It is based on two recent approaches, genetic algorithm (GA) and simulated annealing (SA), which have been applied to many difficult combinatorial optimization problems with certain strengths and weaknesses. In this paper, a hybrid of GA and SA (GSA) is presented to use the strengths of GA and SA and overcome their weaknesses. In order to improve, the performance of GSA further, the parallel genetic simulated annealing (PGSA) has been developed and used to optimize the cutting parameters for multi-pass milling process. For comparison, conventional parallel GA (PGA) is also chosen as another optimization method. An application example that has been solved previously using the geometric programming (GP) and dynamic programming (DP) method is presented. From the given results, PGSA is shown to be more suitable and efficient for optimizing the cutting parameters for milling operation than GP+DP and PGA. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： milling genetic algorithm simulated annealing parallel genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Computation of Molecular Electronic Structure by genetic algorithm

引用

MATERIALS AND MANUFACTURING PROCESSES 2009年第2期24卷 155-161页

作者： Sharma, Rahul Saha, Rajendra Nandy, Subhajit Bhattacharyya, Shankar Prasad Chaudhury, Pinaki Indian Assoc Cultivat Sci Dept Phys Chem Kolkata 700032 India Univ Calcutta Dept Chem Kolkata India

Several strategies based on genetic algorithms have been explored to locate the ground state energy and structure of atoms and molecules. A variational recipe in a finite basis has been invoked in one of the strategies leading to a matrix eigenvalue problem that has been solved by GA with simultaneous optimization of the basis. In the second approach, the molecular electronic Schrodinger equation has been solved by genetic algorithm by directly optimizing the electronic probability amplitude distribution in space. In the third approach, the single-particle density matrix in atomic orbital basis has been treated as the basic unknown quantity. The search for the optimal ground state density has been simplified by a unitary transformation on the trial density which has been optimized by GA.

关键词： Basis optimization Born-Oppenheimer method Constrained variation Density matrix Density-GA method Direct density method Electronic structure calculation genetic algorithm Nonlinear optimization Optimization parallel genetic algorithm Polythiophene oligomers Rayleigh Quotient minimization Soft computing Su-Schrieffer-Heeger Hamiltonian

来源：评论

学校读者我要写书评

暂无评论

Web Services-based Grid Computing for Traffic Flow Predictive Control

Web Services-based Grid Computing for Traffic Flow Predictiv...

引用

1st WRI Global Congress on Intelligent Systems (GCIS 2009)

作者： Zhou, Yonghua Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9780769535715

The vehicles are navigated and assigned to the optimized routes according to the information of real-time and predicted traffic flow so that the optimization of traffic flow system and travelers' satisfaction degree can be both achieved. The architecture of traffic flow predictive control is presented in this paper including such two parts as traffic flow navigation predictive control or dynamic traffic assignment based on predictive control and traffic signal predictive control. The real-time processing approach of parallel genetic algorithm based on web services in IntraGrid is presented in which distributed-control and central-control parallel genetic algorithms are devised. The simulation results show that the traffic flow navigation predictive control can predict possible congestion and prevent its happening, and thus realize the win-win system-optimal and user-optimal optimization. The IntraGrid computing of parallel genetic algorithm based on web services can meet the requirements of real-time processing for traffic flow predictive control.

关键词： web services grid computing parallel genetic algorithm dynamic traffic assignment predictive control

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：