Electrical network optimization by genetic algorithm

被引：5

作者：

Pavluchenko, D. A. ^{[1
]}

Manusov, V. Z. ^{[1
]}

机构：

[1] Novosibirsk State Tech Univ, Dept Power Supply Syst, Novosibirsk 630092, Russia

来源：

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER | 2006年 / 16卷 / 06期

关键词：

electrical networks; optimization problems; genetic algorithms;

D O I：

10.1002/etep.104

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The article is devoted to the electrical network optimization by genetic algorithms-the optimization method based on the simulation of the biological evolution. This problem is a many-dimensional nonlinear discrete optimization problem, which requires the usage of heuristic or combinatorial algorithms. The mathematical model and algorithm of the given problem are developed. The presented methodology is applied for the IEEE 30-bus test system. Copyright (c) 2006 John Wiley & Sons, Ltd.

引用

页码：569 / 576

页数：8

共 50 条

[31] A genetic algorithm for constrained and multiobjective optimization [J].

Camponogara, E ;

Talukdar, SN .

PROCEEDINGS OF THE THIRD NORDIC WORKSHOP ON GENETIC ALGORITHMS AND THEIR APPLICATIONS (3NWGA), 1997, :49-61

[32] Annealing a Genetic Algorithm for Constrained Optimization [J].

Mendivil, F. ;

Shonkwiler, R. .

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2010, 147 (02) :395-410

[33] Multidimensional optimization with a fuzzy genetic algorithm [J].

Voget, S .

JOURNAL OF HEURISTICS, 1998, 4 (03) :221-244

[34] Genetic algorithm controller optimization for SMPS [J].

Kostov, KS ;

Kyyrä, JJ .

INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, :2182-2187

[35] Genetic algorithm optimization of superresolution parameters [J].

Ahrens, Barry .

GECCO 2005: Genetic and Evolutionary Computation Conference, Vols 1 and 2, 2005, :2083-2088

[36] An elitist genetic algorithm for multiobjective optimization [J].

Costa, L ;

Oliveira, P .

METAHEURISTICS: COMPUTER DECISION-MAKING, 2004, 86 :217-+

[37] Genetic algorithm optimization of the dataflow processor [J].

Turcaník, M ;

Liska, M .

INTELLIGENT TECHNOLOGIES - THEORY AND APPLICATIONS: NEW TRENDS IN INTELLIGENT TECHNOLOGIES, 2002, 76 :286-290

[38] Initializing of an RBF network by a genetic algorithm [J].

Kuncheva, LI .

NEUROCOMPUTING, 1997, 14 (03) :273-288

[39] Cellular Neural Network Trainer and Template Optimization for Advanced Robot Locomotion, Based on Genetic Algorithm [J].

Fasih, Alireza ;

Chedjou, Jean Chamberlian ;

Kyamakya, Kyandoghere .

2008 15TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP), 2008, :312-317

[40] A novel global optimization method to design laser parameters with artificial neural network and genetic algorithm [J].

Xiao G. ;

Long X. ;

Zhang B. ;

Wu S. ;

Zhao H. ;

Chen W. .

Zhongguo Jiguang/Chinese Journal of Lasers, 2010, 37 (05) :1203-1208

← 1 2 3 4 5 →