Title :
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
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;
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
DOI :
10.1109/ICICTA.2009.95
