Use of Direct Search Methods

A simple procedure to overcome the problem of the small region of convergence is to use a two-step procedure whereby direct search optimization is used to initially to bring the parameters in the vicinity of the optimum, followed by the Gauss-Newton method to obtain the best parameter values and estimates of the uncertainty in the parameters (Kalogerakis and Luus, 1982). 

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Watson, 1968 Rudd, 1968 Masso and Rudd, 1969). Algorithmic methods for selecting the optimal configuration from a given superstructure also began to be developed through the use of direct search methods for continuous variables (Umeda et al, 1972 Ichikawa and Fan, 1973) as well as branch and bound search methods (Lee et al, 1970). 

Use of Direct Search Methods Autocorrelation in Dynamic Systems... 

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