Title :
IIR filter design using mixed simulated annealing-deterministic optimization
Author :
Marchesi, Michele L.
Author_Institution :
DIBE, Genova Univ., Italy
Abstract :
A new global optimization algorithm for electrical design is presented. It merges features from the simulated annealing algorithm and from R. Hooke´s and T.A. Jeeves´s pattern search method (1961). The proposed method derives from the former algorithm the ability not to be trapped in local minima, while from the latter it derives a more efficient way to search in the cost function domain. A comparison is made with classical simulated annealing and with J.A. Nelder´s and R. Mead´s (1964) simplex method for the design of infinite impulse response digital filters. The proposed algorithm was shown to have the best overall efficiency in terms of computational cost
Keywords :
digital filters; simulated annealing; IIR filter design; computational cost; cost function domain; electrical design; global optimization; local minima; mixed simulated annealing-deterministic optimization; overall efficiency; pattern search method; Algorithm design and analysis; Computational efficiency; Computational modeling; Cost function; Design methodology; Design optimization; Digital filters; IIR filters; Search methods; Simulated annealing;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230524