Stochastic approximation method for solving the stochastic multiobjective programming problem

Abstract In this paper, we consider the multiobjective optimization problem in which each objective function is disturbed by noise. It is shown that a stochastic approximation method is able to find the appropriate solution of this problem. Several computer simulation results also confirm our theoretical study.