Multi-Object Optimal Design of Analog Filter Based on Improved Genetic Algorithm

Author

Qinlan, Xie ; Hong, Chen

Author_Institution

Coll. of Electron. & Inf. Eng., South-Central Univ. For Nat., Wuhan, China

Volume

1

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

362

Lastpage

365

Abstract

A multi-object optimization method for analog filter design based on genetic algorithm (GA) is proposed. The complete objective function is a weighted sum of deviations between the properties of designed filter and these of desired filter, including the magnitude, phase responses and step response, etc. The optimization is achieved by GA to minimize the complete objective. For overcoming the disadvantages of simple GA, an improvement is given. A four order filter designed by proposed method testified the validity of the method.

Keywords

analogue circuits; circuit optimisation; genetic algorithms; low-pass filters; analog filter design; four order filter; genetic algorithm; multiobject optimisation; Algorithm design and analysis; Analog computers; Design methodology; Design optimization; Educational institutions; Electronic mail; Evolutionary computation; Genetic algorithms; Nonlinear filters; Optimization methods; analog filter; genetic algorithm (GA); multi-object; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.95

Filename

5287637