Enhanced Constraint Exploration on Fuzzy Quadratic Programming Problems

Abstract

In this paper, we proposed a computational procedure by using fuzzy approach to find the optimal solution of quadratic programming problem. We divided the calculation of the optimal solution in two stages. In the first stage we determine the unconstrained minimization of the objective function of the fuzzy quadratic programming problem and check its feasibility. In the second stage, we are exploring the boundary of the feasible region from initial point to another point until the optimal point is achieved. A numerical example included in the support of this paper for illustration. Numerical results show the capability of an alternative method in order to obtain the optimal solution of the problems.