IIR filter design using mixed simulated annealing-deterministic optimization

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