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Randomized Pattern Search

A random search technique for function minimization is proposed that incorporates the step-size and direction adaptivity of Hooke and Jeeves' [1] pattern search. Experimental results for a variety of functions indicate that the random pattern search is more effective than the corresponding deterministic method for a class of problems with hard constraints.