An improved Genetic Algorithm and its application

Author

Wang, Mingdong ; Liu, Xianlin ; Yu, Jilai

Author_Institution

Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin

fYear

2008

fDate

25-27 June 2008

Firstpage

8642

Lastpage

8644

Abstract

An improved Genetic Algorithm (GA) named Head-and-Tail Alternate Crossover GA is proposed to overcome the inefficiency of conventional single-point crossover GA on the optimizing of multi-parameter system. The head-crossover and tail-crossover is used alternately in the algorithm, which ensure that the optimized probability of every parameter is approximately equal. The parameters of fuzzy governor PSS are optimized using the algorithm and the result indicate that the algorithm is more quickly and precisely than conventional GA.

Keywords

fuzzy control; fuzzy set theory; genetic algorithms; power system stability; conventional single-point crossover; fuzzy governor power system stabilizer; head-and-tail alternate crossover; improved genetic algorithm; multiparameter system; Automation; Fuzzy control; Fuzzy systems; Genetic algorithms; Genetic mutations; Intelligent control; Optimization methods; Power system control; Power system faults; Power systems; Crossover; Fuzzy control; Genetic algorithm; Power system stabilizer;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4594288

Filename

4594288