Computational experience with generalized simulated annealing over continuous variables

SYNOPTIC ABSTRACTStochastic optimization procedures have been shown to be efficient methods for finding global extrema of objective functions. In this article we report computational results obtained using the generalized simulated annealing method on a set of standard global optimization test problems. The results are compared to those obtained using the best known competing stochastic optimization methods.