A stochastic optimization algorithm with incorporation of a priori information

In this paper a randomized search algorithm with incorporation of a priori information is developed to optimize some nonlinear mathematical programming models with stochastic structure. The proposed algorithm incorporates information in the form of mathematical expectations and analyzes various probability distributions. The proposal is accompanied by the corresponding convergence proof and some applications are illustrated.