Technical Note—Using a Monte Carlo Method for Optimizing Smoothed Functional

Abstract

This note deals with optimization problems involving insufficient a priori information on the controlled object. We consider a parametric statistical gradient algorithm that uses an increasing number of observations and gives convergence conditions for optimizing a smoothed functional.