Abstract
A stochastic method is described for solving unconstrained global optimization problems based on a special class of stochastic integral equations. An efficient algorithm is developed using a semi-implicit Euler method for the numerical solution of the stochastic integral equations. Interesting properties and a parallel implementation of the algorithm enable the treatment of problems with a large number of variables
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