Genetic algorithm combined with immune mechanism and its application in skill fuzzy control for meteorological radar

Author

Bencheng, Zhang ; Sili, Liu ; Wei, Pan ; Peng, Zhang

Author_Institution

Electr. Detection Dept., Shenyang Artillery Acad., Shenyang, China

fYear

2010

fDate

26-28 May 2010

Firstpage

4253

Lastpage

4257

Abstract

Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It´s significant for those control instances consisted in production and people´s daily life. But, how to control a system not movement or behavior rules but only relied on movement parameters, that problem still had not be resolved. This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership, at same time, simplifying the corresponding movement equation. its efficiency will be indicated by an example.

Keywords

fuzzy control; genetic algorithms; meteorological radar; behavior rules; control instances; fuzzy control; genetic algorithm; immune mechanism; meteorological radar; movement parameters; Automatic control; Automation; Biological cells; Control systems; Evolution (biology); Fuzzy control; Genetic algorithms; Immune system; Meteorological radar; Radar detection; affinity function; immune GA; problem space and GA space; skill fuzzy control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498393

Filename

5498393